Created
May 6, 2014 09:32
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Running the bym2 model in INLA
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> n <- nrow(CC) | |
> Q <- INLA:::inla.pc.bym.Q(border, scale.model=TRUE) | |
> u <- .2/.31 | |
> alpha <- .01 | |
> phi.u <- .5 | |
> phi.alpha <- 2/3 | |
> formula2 <- agr ~ age + sex + age:sex + | |
+ f(geo, model='bym2', graph=border, | |
+ constr=TRUE, scale.model=TRUE, | |
+ hyper=list(phi=list(prior='pc', | |
+ param=c(phi.u, phi.alpha), | |
+ initial=-3), | |
+ prec=list(prior='pc.prec', | |
+ param=c(u, alpha), | |
+ initial=5))) | |
> agr_geo <- inla(formula2, family='gaussian', data=CC, verbose=TRUE) | |
hgid: f4b2fa41b99b date: Thu Apr 03 15:35:52 2014 +0200 | |
Report bugs to <[email protected]> | |
Processing file [/tmp/RtmpwnHhDH/file21967666466b/Model.ini] max_threads=[12] | |
inla_build... | |
number of sections=[11] | |
parse section=[0] name=[INLA.Model] type=[PROBLEM] | |
inla_parse_problem... | |
name=[INLA.Model] | |
openmp.strategy=[default] | |
store results in directory=[/tmp/RtmpwnHhDH/file21967666466b/results.files] | |
output: | |
cpo=[0] | |
po=[0] | |
dic=[0] | |
kld=[1] | |
mlik=[1] | |
q=[0] | |
graph=[0] | |
gdensity=[0] | |
hyperparameters=[1] | |
summary=[1] | |
return.marginals=[1] | |
nquantiles=[3] [ 0.025 0.5 0.975 ] | |
ncdf=[0] [ ] | |
parse section=[2] name=[Predictor] type=[PREDICTOR] | |
inla_parse_predictor ... | |
section=[Predictor] | |
dir=[predictor] | |
PRIOR->name=[loggamma] | |
PRIOR->from_theta=[function (x) <<NEWLINE>>exp(x)] | |
PRIOR->to_theta = [function (x) <<NEWLINE>>log(x)] | |
PRIOR->PARAMETERS=[1, 1e-05] | |
initialise log_precision[11] | |
fixed=[1] | |
user.scale=[1] | |
n=[14270] | |
m=[0] | |
ndata=[14270] | |
compute=[0] | |
read offsets from file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] | |
read n=[28540] entries from file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 0/14270 (idx,y) = (0, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 1/14270 (idx,y) = (1, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 2/14270 (idx,y) = (2, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 3/14270 (idx,y) = (3, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 4/14270 (idx,y) = (4, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 5/14270 (idx,y) = (5, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 6/14270 (idx,y) = (6, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 7/14270 (idx,y) = (7, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 8/14270 (idx,y) = (8, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 9/14270 (idx,y) = (9, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 10/14270 (idx,y) = (10, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 11/14270 (idx,y) = (11, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 12/14270 (idx,y) = (12, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 13/14270 (idx,y) = (13, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 14/14270 (idx,y) = (14, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 15/14270 (idx,y) = (15, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 16/14270 (idx,y) = (16, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 17/14270 (idx,y) = (17, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 18/14270 (idx,y) = (18, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e5bbe79] 19/14270 (idx,y) = (19, 0) | |
Aext=[(null)] | |
AextPrecision=[1e+08] | |
output: | |
summary=[1] | |
return.marginals=[1] | |
nquantiles=[3] [ 0.025 0.5 0.975 ] | |
ncdf=[0] [ ] | |
parse section=[1] name=[INLA.Data1] type=[DATA] | |
inla_parse_data [section 1]... | |
tag=[INLA.Data1] | |
family=[GAUSSIAN] | |
likelihood=[GAUSSIAN] | |
file->name=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e46977d] | |
file->name=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219675645f27] | |
read n=[42810] entries from file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21961e46977d] | |
0/14270 (idx,a,y,d) = (0, 1, 3.88889, 1) | |
1/14270 (idx,a,y,d) = (1, 1, 4.5, 1) | |
2/14270 (idx,a,y,d) = (2, 1, 3.125, 1) | |
3/14270 (idx,a,y,d) = (3, 1, 3.88889, 1) | |
4/14270 (idx,a,y,d) = (4, 1, 4.25, 1) | |
5/14270 (idx,a,y,d) = (5, 1, 3.625, 1) | |
6/14270 (idx,a,y,d) = (6, 1, 4, 1) | |
7/14270 (idx,a,y,d) = (7, 1, 3.5, 1) | |
8/14270 (idx,a,y,d) = (8, 1, 3.25, 1) | |
9/14270 (idx,a,y,d) = (9, 1, 3.875, 1) | |
10/14270 (idx,a,y,d) = (10, 1, 3.375, 1) | |
11/14270 (idx,a,y,d) = (11, 1, 3.22222, 1) | |
12/14270 (idx,a,y,d) = (12, 1, 2.875, 1) | |
13/14270 (idx,a,y,d) = (13, 1, 4.22222, 1) | |
14/14270 (idx,a,y,d) = (14, 1, 3.875, 1) | |
15/14270 (idx,a,y,d) = (15, 1, 3, 1) | |
16/14270 (idx,a,y,d) = (16, 1, 2.875, 1) | |
17/14270 (idx,a,y,d) = (17, 1, 3.625, 1) | |
18/14270 (idx,a,y,d) = (18, 1, 2.625, 1) | |
19/14270 (idx,a,y,d) = (19, 1, 2.375, 1) | |
use variant [0] | |
bit 0 is off | |
bit 1 is off | |
bit 2 is off | |
bit 3 is off | |
initialise log_precision[4] | |
fixed=[0] | |
PRIOR->name=[loggamma] | |
PRIOR->from_theta=[function (x) <<NEWLINE>>exp(x)] | |
PRIOR->to_theta = [function (x) <<NEWLINE>>log(x)] | |
PRIOR->PARAMETERS=[1, 5e-05] | |
Link model [IDENTITY] | |
Link order [-1] | |
Link ntheta [0] | |
mix.use[0] | |
parse section=[9] name=[geo] type=[FFIELD] | |
inla_parse_ffield... | |
section=[geo] | |
dir=[random.effect00000001] | |
model=[bym2] | |
PRIOR0->name=[pcprec] | |
PRIOR0->from_theta=[function (x) <<NEWLINE>>exp(x)] | |
PRIOR0->to_theta = [function (x) <<NEWLINE>>log(x)] | |
PRIOR0->PARAMETERS0=[0.645161 0.01] | |
PRIOR1->name=[table] | |
PRIOR1->from_theta=[function (x) <<NEWLINE>>exp(x)/(1 + exp(x))] | |
PRIOR1->to_theta = [function (x) <<NEWLINE>>log(x/(1 - x))] | |
PRIOR1->table=[table: /tmp/RtmpwnHhDH/file21967666466b/data.files/file2196381dfd82] | |
constr=[0] | |
diagonal=[9.99978e-07] | |
id.names=<not present> | |
compute=[1] | |
nrep=[1] | |
ngroup=[1] | |
read covariates from file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] | |
read n=[28540] entries from file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 0/14270 (idx,y) = (0, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 1/14270 (idx,y) = (1, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 2/14270 (idx,y) = (2, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 3/14270 (idx,y) = (3, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 4/14270 (idx,y) = (4, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 5/14270 (idx,y) = (5, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 6/14270 (idx,y) = (6, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 7/14270 (idx,y) = (7, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 8/14270 (idx,y) = (8, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 9/14270 (idx,y) = (9, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 10/14270 (idx,y) = (10, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 11/14270 (idx,y) = (11, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 12/14270 (idx,y) = (12, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 13/14270 (idx,y) = (13, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 14/14270 (idx,y) = (14, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 15/14270 (idx,y) = (15, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 16/14270 (idx,y) = (16, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 17/14270 (idx,y) = (17, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 18/14270 (idx,y) = (18, 12) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219629a73474] 19/14270 (idx,y) = (19, 12) | |
read graph from file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962d2afec7] | |
file for locations=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219650d89607] | |
nlocations=[249] | |
locations[0]=[1] | |
locations[1]=[2] | |
locations[2]=[3] | |
locations[3]=[4] | |
locations[4]=[5] | |
locations[5]=[6] | |
locations[6]=[7] | |
locations[7]=[8] | |
locations[8]=[9] | |
locations[9]=[10] | |
locations[10]=[11] | |
locations[11]=[12] | |
locations[12]=[13] | |
locations[13]=[14] | |
locations[14]=[15] | |
locations[15]=[16] | |
locations[16]=[17] | |
locations[17]=[18] | |
locations[18]=[19] | |
locations[19]=[20] | |
initialise log_precision [5] | |
fixed=[0] | |
initialise phi_intern [-3] | |
fixed=[0] | |
adjust.for.con.comp[1] | |
scale.model[1] | |
scale.model: prec_scale[0.71926] | |
read extra constraint from file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196833f0b7] | |
Constraint[0] | |
A[249] = 1.000000 | |
A[250] = 1.000000 | |
A[251] = 1.000000 | |
A[252] = 1.000000 | |
A[253] = 1.000000 | |
A[254] = 1.000000 | |
A[255] = 1.000000 | |
A[256] = 1.000000 | |
A[257] = 1.000000 | |
A[258] = 1.000000 | |
A[259] = 1.000000 | |
A[260] = 1.000000 | |
A[261] = 1.000000 | |
A[262] = 1.000000 | |
A[263] = 1.000000 | |
A[264] = 1.000000 | |
A[265] = 1.000000 | |
A[266] = 1.000000 | |
A[267] = 1.000000 | |
A[268] = 1.000000 | |
A[269] = 1.000000 | |
e[0] = 0.000000 | |
rank-deficiency is *defined* [1] | |
output: | |
summary=[1] | |
return.marginals=[1] | |
nquantiles=[3] [ 0.025 0.5 0.975 ] | |
ncdf=[0] [ ] | |
section=[3] name=[(Intercept)] type=[LINEAR] | |
inla_parse_linear... | |
section[(Intercept)] | |
dir=[fixed.effect00000001] | |
file for covariates=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] | |
read n=[28540] entries from file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 0/14270 (idx,y) = (0, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 1/14270 (idx,y) = (1, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 2/14270 (idx,y) = (2, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 3/14270 (idx,y) = (3, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 4/14270 (idx,y) = (4, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 5/14270 (idx,y) = (5, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 6/14270 (idx,y) = (6, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 7/14270 (idx,y) = (7, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 8/14270 (idx,y) = (8, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 9/14270 (idx,y) = (9, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 10/14270 (idx,y) = (10, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 11/14270 (idx,y) = (11, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 12/14270 (idx,y) = (12, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 13/14270 (idx,y) = (13, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 14/14270 (idx,y) = (14, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 15/14270 (idx,y) = (15, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 16/14270 (idx,y) = (16, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 17/14270 (idx,y) = (17, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 18/14270 (idx,y) = (18, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219689edc8d] 19/14270 (idx,y) = (19, 1) | |
prior mean=[0] | |
prior precision=[0] | |
compute=[1] | |
output: | |
summary=[1] | |
return.marginals=[1] | |
nquantiles=[3] [ 0.025 0.5 0.975 ] | |
ncdf=[0] [ ] | |
section=[4] name=[age] type=[LINEAR] | |
inla_parse_linear... | |
section[age] | |
dir=[fixed.effect00000002] | |
file for covariates=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] | |
read n=[28540] entries from file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 0/14270 (idx,y) = (0, 19) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 1/14270 (idx,y) = (1, 26) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 2/14270 (idx,y) = (2, 25) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 3/14270 (idx,y) = (3, 22) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 4/14270 (idx,y) = (4, 21) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 5/14270 (idx,y) = (5, 27) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 6/14270 (idx,y) = (6, 43) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 7/14270 (idx,y) = (7, 28) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 8/14270 (idx,y) = (8, 22) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 9/14270 (idx,y) = (9, 24) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 10/14270 (idx,y) = (10, 21) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 11/14270 (idx,y) = (11, 23) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 12/14270 (idx,y) = (12, 21) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 13/14270 (idx,y) = (13, 21) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 14/14270 (idx,y) = (14, 19) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 15/14270 (idx,y) = (15, 21) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 16/14270 (idx,y) = (16, 42) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 17/14270 (idx,y) = (17, 29) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 18/14270 (idx,y) = (18, 28) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196684e3c6e] 19/14270 (idx,y) = (19, 22) | |
prior mean=[0] | |
prior precision=[0.001] | |
compute=[1] | |
output: | |
summary=[1] | |
return.marginals=[1] | |
nquantiles=[3] [ 0.025 0.5 0.975 ] | |
ncdf=[0] [ ] | |
section=[5] name=[sexfemale] type=[LINEAR] | |
inla_parse_linear... | |
section[sexfemale] | |
dir=[fixed.effect00000003] | |
file for covariates=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] | |
read n=[28540] entries from file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 0/14270 (idx,y) = (0, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 1/14270 (idx,y) = (1, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 2/14270 (idx,y) = (2, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 3/14270 (idx,y) = (3, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 4/14270 (idx,y) = (4, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 5/14270 (idx,y) = (5, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 6/14270 (idx,y) = (6, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 7/14270 (idx,y) = (7, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 8/14270 (idx,y) = (8, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 9/14270 (idx,y) = (9, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 10/14270 (idx,y) = (10, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 11/14270 (idx,y) = (11, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 12/14270 (idx,y) = (12, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 13/14270 (idx,y) = (13, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 14/14270 (idx,y) = (14, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 15/14270 (idx,y) = (15, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 16/14270 (idx,y) = (16, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 17/14270 (idx,y) = (17, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 18/14270 (idx,y) = (18, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file219673b12b85] 19/14270 (idx,y) = (19, 1) | |
prior mean=[0] | |
prior precision=[0.001] | |
compute=[1] | |
output: | |
summary=[1] | |
return.marginals=[1] | |
nquantiles=[3] [ 0.025 0.5 0.975 ] | |
ncdf=[0] [ ] | |
section=[6] name=[sexmale] type=[LINEAR] | |
inla_parse_linear... | |
section[sexmale] | |
dir=[fixed.effect00000004] | |
file for covariates=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] | |
read n=[28540] entries from file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 0/14270 (idx,y) = (0, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 1/14270 (idx,y) = (1, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 2/14270 (idx,y) = (2, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 3/14270 (idx,y) = (3, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 4/14270 (idx,y) = (4, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 5/14270 (idx,y) = (5, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 6/14270 (idx,y) = (6, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 7/14270 (idx,y) = (7, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 8/14270 (idx,y) = (8, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 9/14270 (idx,y) = (9, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 10/14270 (idx,y) = (10, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 11/14270 (idx,y) = (11, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 12/14270 (idx,y) = (12, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 13/14270 (idx,y) = (13, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 14/14270 (idx,y) = (14, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 15/14270 (idx,y) = (15, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 16/14270 (idx,y) = (16, 1) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 17/14270 (idx,y) = (17, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 18/14270 (idx,y) = (18, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21965f12e2dd] 19/14270 (idx,y) = (19, 0) | |
prior mean=[0] | |
prior precision=[0.001] | |
compute=[1] | |
output: | |
summary=[1] | |
return.marginals=[1] | |
nquantiles=[3] [ 0.025 0.5 0.975 ] | |
ncdf=[0] [ ] | |
section=[7] name=[age:sexfemale] type=[LINEAR] | |
inla_parse_linear... | |
section[age:sexfemale] | |
dir=[fixed.effect00000005] | |
file for covariates=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] | |
read n=[28540] entries from file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 0/14270 (idx,y) = (0, 19) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 1/14270 (idx,y) = (1, 26) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 2/14270 (idx,y) = (2, 25) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 3/14270 (idx,y) = (3, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 4/14270 (idx,y) = (4, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 5/14270 (idx,y) = (5, 27) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 6/14270 (idx,y) = (6, 43) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 7/14270 (idx,y) = (7, 28) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 8/14270 (idx,y) = (8, 22) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 9/14270 (idx,y) = (9, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 10/14270 (idx,y) = (10, 21) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 11/14270 (idx,y) = (11, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 12/14270 (idx,y) = (12, 21) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 13/14270 (idx,y) = (13, 21) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 14/14270 (idx,y) = (14, 19) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 15/14270 (idx,y) = (15, 21) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 16/14270 (idx,y) = (16, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 17/14270 (idx,y) = (17, 29) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 18/14270 (idx,y) = (18, 28) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file2196116b150d] 19/14270 (idx,y) = (19, 22) | |
prior mean=[0] | |
prior precision=[0.001] | |
compute=[1] | |
output: | |
summary=[1] | |
return.marginals=[1] | |
nquantiles=[3] [ 0.025 0.5 0.975 ] | |
ncdf=[0] [ ] | |
section=[8] name=[age:sexmale] type=[LINEAR] | |
inla_parse_linear... | |
section[age:sexmale] | |
dir=[fixed.effect00000006] | |
file for covariates=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] | |
read n=[28540] entries from file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 0/14270 (idx,y) = (0, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 1/14270 (idx,y) = (1, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 2/14270 (idx,y) = (2, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 3/14270 (idx,y) = (3, 22) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 4/14270 (idx,y) = (4, 21) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 5/14270 (idx,y) = (5, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 6/14270 (idx,y) = (6, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 7/14270 (idx,y) = (7, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 8/14270 (idx,y) = (8, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 9/14270 (idx,y) = (9, 24) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 10/14270 (idx,y) = (10, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 11/14270 (idx,y) = (11, 23) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 12/14270 (idx,y) = (12, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 13/14270 (idx,y) = (13, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 14/14270 (idx,y) = (14, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 15/14270 (idx,y) = (15, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 16/14270 (idx,y) = (16, 42) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 17/14270 (idx,y) = (17, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 18/14270 (idx,y) = (18, 0) | |
file=[/tmp/RtmpwnHhDH/file21967666466b/data.files/file21962fdcc23] 19/14270 (idx,y) = (19, 0) | |
prior mean=[0] | |
prior precision=[0.001] | |
compute=[1] | |
output: | |
summary=[1] | |
return.marginals=[1] | |
nquantiles=[3] [ 0.025 0.5 0.975 ] | |
ncdf=[0] [ ] | |
Index table: number of entries[8], total length[14774] | |
tag start-index length | |
Predictor 0 14270 | |
geo 14270 498 | |
(Intercept) 14768 1 | |
age 14769 1 | |
sexfemale 14770 1 | |
sexmale 14771 1 | |
age:sexfemale 14772 1 | |
age:sexmale 14773 1 | |
parse section=[10] name=[INLA.Parameters] type=[INLA] | |
inla_parse_INLA... | |
section[INLA.Parameters] | |
lincomb.derived.only = [Yes] | |
lincomb.derived.correlation.matrix = [No] | |
global_node.factor = 2.000 | |
global_node.degree = 2147483647 | |
reordering = -1 | |
Contents of ai_param 0x2b1a480 | |
Optimiser: DEFAULT METHOD | |
Option for domin-BFGS: epsx = 0.005 | |
Option for domin-BFGS: epsf = 1e-05 (rounding error) | |
Option for domin-BFGS: epsg = 0.005 | |
Option for GSL-BFGS2: tol = 0.1 | |
Option for GSL-BFGS2: step_size = 1 | |
Option for GSL-BFGS2: epsx = 0.005 | |
Option for GSL-BFGS2: epsf = 0.000353553 | |
Option for GSL-BFGS2: epsg = 0.005 | |
Restart: 0 | |
Mode known: No | |
Gaussian approximation: | |
abserr_func = 0.0005 | |
abserr_step = 0.0005 | |
optpar_fp = 0 | |
optpar_nr_step_factor = -0.1 | |
Gaussian data: Yes | |
Strategy: Use the Gaussian approximation | |
Fast mode: On | |
Use linear approximation to log(|Q +c|)? Yes | |
Method: Compute the derivative exact | |
Parameters for improved approximations | |
Number of points evaluate: 9 | |
Step length to compute derivatives numerically: 3.36941e-05 | |
Stencil to compute derivatives numerically: 5 | |
Cutoff value to construct local neigborhood: 0.0001 | |
Log calculations: On | |
Log calculated marginal for the hyperparameters: On | |
Integration strategy: Use points from Central Composite Design (CCD) | |
f0 (CCD only): 1.100000 | |
dz (GRID only): 1.000000 | |
Adjust weights (GRID only): On | |
Difference in log-density limit (GRID only): 2.500000 | |
Skip configurations with (presumed) small density (GRID only): On | |
Gradient is computed using Central difference with step-length 0.010000 | |
Hessian is computed using Central difference with step-length 0.100000 | |
Hessian matrix is forced to be a diagonal matrix? [No] | |
Compute effective number of parameters? [Yes] | |
Perform a Monte Carlo error-test? [No] | |
Interpolator [Auto] | |
CPO required diff in log-density [3] | |
Stupid search mode: | |
Status [On] | |
Max iter [1000] | |
Factor [1.05] | |
Numerical integration of hyperparameters: | |
Maximum number of function evaluations [100000] | |
Relative error ....................... [1e-05] | |
Absolute error ....................... [1e-06] | |
To stabalise the numerical optimisation: | |
Minimum value of the -Hesssian [0] | |
CPO manual calculation[No] | |
inla_build: check for unused entries in[/tmp/RtmpwnHhDH/file21967666466b/Model.ini] | |
inla_INLA... | |
Strategy = [DEFAULT] | |
Size is [14774] and strategy [LARGE] is chosen | |
Size of graph=[14774] constraints=[1] | |
Found optimal reordering=[amdc] nnz(L)=[89990] and use_global_nodes(user)=[no] | |
List of hyperparameters: | |
theta[0] = [Log precision for the Gaussian observations] | |
theta[1] = [Log precision for geo] | |
theta[2] = [Logit phi for geo] | |
Optimise using DEFAULT METHOD | |
Max.post.marg(theta): log(dens) = -134498.510159 fn = 1 theta = 4.010000 5.000000 -3.000000 | |
Max.post.marg(theta): log(dens) = -133082.794441 fn = 2 theta = 4.000000 5.000000 -2.990000 | |
Max.post.marg(theta): log(dens) = -133081.483067 fn = 3 theta = 4.000000 4.990000 -3.000000 | |
Max.post.marg(theta): log(dens) = -131682.215581 fn = 5 theta = 3.990000 5.000000 -3.000000 | |
Max.post.marg(theta): log(dens) = -46591.414039 fn = 7 theta = 3.000001 4.998908 -2.999911 | |
Max.post.marg(theta): log(dens) = -46590.132335 fn = 9 theta = 3.000001 4.988908 -2.999911 | |
Max.post.marg(theta): log(dens) = -46119.632601 fn = 13 theta = 2.990001 4.998908 -2.999911 | |
Max.post.marg(theta): log(dens) = -23767.692837 fn = 15 theta = -1.404464 4.994099 -2.999517 | |
Max.post.marg(theta): log(dens) = -23703.310817 fn = 16 theta = -1.394464 4.994099 -2.999517 | |
Iter=1 |grad|=6.43e+03 |x-x.old|=3.12 |f-f.old|=1.09e+05 | |
Max.post.marg(theta): log(dens) = -23393.482796 fn = 22 theta = -1.344646 4.184838 -3.583914 | |
Max.post.marg(theta): log(dens) = -23329.742066 fn = 23 theta = -1.334646 4.184838 -3.583914 | |
Max.post.marg(theta): log(dens) = -20717.796653 fn = 29 theta = -0.806279 -3.098508 -8.843479 | |
Max.post.marg(theta): log(dens) = -20659.653740 fn = 30 theta = -0.796279 -3.098508 -8.843479 | |
file: smtp-taucs.c hgid: f4b2fa41b99b date: Thu Apr 03 15:35:52 2014 +0200 | |
Function: GMRFLib_factorise_sparse_matrix_TAUCS(), Line: 829, Thread: 0 | |
Fail to factorize Q. I will try to fix it... | |
*** ERROR *** table-prior returns NAN. Argument is -56.1796 but prior is defined on [-16,16] only. | |
Error in inla.inlaprogram.has.crashed() : | |
The inla-program exited with an error. Unless you interupted it yourself, please rerun with verbose=TRUE and check the output carefully. | |
If this does help; please contact the developers at <[email protected]>. |
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