Andrea Gilardi agila5

Tenure Track Assistant Professor (RTT) in Statistics

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agila5 / example-key-regex.md

Created May 18, 2021 17:14

string <- "\"sidewalk\"=>\"none\""
print(string, quote = FALSE)
#> [1] "sidewalk"=>"none"
read.table(
  text = gsub(',?([^,]+)=>',"\n\\1:", string, perl = TRUE), 
  sep = ":", 
  col.names = c("key", "value")
)
#&gt; key value

agila5 / suppressMessages.md

Created April 10, 2021 07:47

# packages
library(sf)
#> Linking to GEOS 3.9.0, GDAL 3.2.1, PROJ 7.2.1
library(sfnetworks)

# create network
roxel_sfn <- as_sfnetwork(roxel, directed = FALSE)

# sample two points in that area

agila5 / change-weights-sfn.md

Created March 28, 2021 09:55

# packages
library(sf)
#> Linking to GEOS 3.9.0, GDAL 3.2.1, PROJ 7.2.1
library(tidygraph)
#> 
#> Attaching package: 'tidygraph'
#> The following object is masked from 'package:stats':
#> 
#>     filter

agila5 / example-sfn.md

Last active March 27, 2021 12:36

# load packages
library(sf)
#> Linking to GEOS 3.9.0, GDAL 3.2.1, PROJ 7.2.1
library(tidygraph)
#> 
#> Attaching package: 'tidygraph'
#> The following object is masked from 'package:stats':
#> 
#>     filter

agila5 / inla-me.md

Created March 8, 2021 15:25

INLA-ME

# packages
library(INLA)
#> Carico il pacchetto richiesto: Matrix
#> Carico il pacchetto richiesto: foreach
#> Carico il pacchetto richiesto: parallel
#> Carico il pacchetto richiesto: sp
#> This is INLA_21.02.23 built 2021-02-22 21:11:05 UTC.
#>  - See www.r-inla.org/contact-us for how to get help.

agila5 / example_W.md

Created July 29, 2020 15:31

# packages
library(spdep)
#> Loading required package: sp
#> Loading required package: spData
#> Loading required package: sf
#> Linking to GEOS 3.8.0, GDAL 3.0.4, PROJ 6.3.1
library(rgdal)
#> rgdal: version: 1.5-12, (SVN revision 1018)
#> Geospatial Data Abstraction Library extensions to R successfully loaded

agila5 / example_sfnetworks.md

Created July 12, 2020 16:46

# packages
library(sf)
#> Linking to GEOS 3.8.0, GDAL 3.0.4, PROJ 6.3.1
library(sfnetworks)
library(tidygraph)
#> 
#> Attaching package: 'tidygraph'
#> The following object is masked from 'package:stats':
#>

agila5 / inla_make_lincomb.md

Last active June 15, 2020 07:22

# packages
library(INLA)
#> Loading required package: Matrix
#> Loading required package: sp
#> Loading required package: parallel
#> Loading required package: foreach
#> This is INLA_20.03.09 built 2020-03-09 09:12:35 UTC.
#> See www.r-inla.org/contact-us for how to get help.
inla.version()

agila5 / inla_nbinomial.md

Created April 20, 2020 10:16

# packages
library(INLA)
#> Loading required package: Matrix
#> Loading required package: sp
#> Loading required package: parallel
#> Loading required package: foreach
#> This is INLA_20.03.09 built 2020-03-09 09:12:35 UTC.
#> See www.r-inla.org/contact-us for how to get help.

agila5 / PITs.md

Created April 14, 2020 20:18

# packages
library(countreg) # for CDF of Hurdle Poisson distribution
#> Loading required package: MASS

# Take nonrandomized PIT function from Czado et al. (2009)
czado_pit <- function(x, Px, Px1, n.bins=10, y.max=2.75, my.title="PIT Histogram")
{
  a.mat <- matrix(0,n.bins,length(x))
  k.vec <- pmax(ceiling(n.bins*Px1),1)

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