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#include "RcppArmadillo.h" | |
// [[Rcpp::depends(RcppArmadillo)]] | |
using namespace Rcpp; | |
using namespace arma; | |
// [[Rcpp::export]] | |
double sumouterprod(const arma::field<arma::vec> & V){ | |
int K = V.n_rows; | |
arma::vec tout = V(0); | |
for(int j=1; j<K; j++){ |
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library(tweedie) | |
library(dplyr) | |
library(ggplot2) | |
library(ggh4x) | |
pow <- c(1.01,1.05,1.3,1.9) | |
phi <- c(0.2,0.5,1,3) | |
mu <- c(0.1,0.3,2) | |
dens <- expand.grid(y=y,power=pow,mu=mu,phi=phi) %>% |
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\documentclass{beamer} | |
\usepackage{tikz} | |
\setbeamertemplate{navigation symbols}{} | |
\usetikzlibrary{positioning} | |
\makeatletter | |
\usefonttheme{serif} | |
\usepackage{xcolor} | |
\def\mathunderline#1#2{\color{#1}\underline{{\color{black}#2}}\color{black}} |
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library(BiasedUrn) | |
library(exact2x2) | |
library(animation) | |
#MCMCpack::dnoncenhypergeom(x = NA, cs[1],cs[2],rs[1], 1) | |
saveGIF({ | |
for(i in c(0:17,17:0)){ | |
rs <- c(18,17) | |
cs <- c(17,18) | |
X <-matrix(c(i,cs[1]-i,rs[1]-i,cs[2]-(rs[1]-i)), nrow=2) |
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x <- seq(-1,1, length.out=100) | |
x2 <- 1*(x>0) | |
X <- cbind(x, x2, x*x2) | |
B <- c(0.5,2,-1) | |
mu <- c(X%*%B) | |
set.seed(2024);y <- mu + rnorm(100,0,0.1) | |
fit <- lm.fit(X,y) | |
muhat <- c(X%*%c(fit$coefficients)) |
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library(animation) | |
pvfun <- Vectorize(function(r, y){ | |
poisson.test(y, T = tau, r = r)$p.value | |
}) | |
postprob <- function(r, x, tau){ | |
pl <- pgamma(r, shape = x+0.5, rate = tau, lower.tail = FALSE) | |
pu <- pgamma(r, shape = x+0.5, rate = tau, lower.tail = TRUE) | |
2*pmin(pl,pu) | |
} |
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library(gtools) | |
library(ggplot2) | |
library(ggbrick) | |
set.seed(1) | |
wp <- numeric(10000) | |
ksp <- numeric(10000) | |
tp <- numeric(10000) | |
for(i in 1:10000){ | |
y1 <- rdirichlet(50,rep(1,10)) | |
y2 <- rdirichlet(50,rep(10,10)) |
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library(KFAS) | |
set.seed(123456) | |
alpha <- beta <- numeric(100) | |
alpha[1:2] <- rnorm(2) | |
for(i in 3:100){ | |
alpha[i] <- rnorm(1,2*alpha[i-1]-alpha[i-2],0.2) | |
} | |
beta <- rnorm(100,alpha,0.2) | |
y1<-rnbinom(100,size=10,mu=exp(alpha)) | |
y2<-rnbinom(100,size=10,mu=exp(beta)) |
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\documentclass[tikz,border=14pt, dvipsnames]{standalone} | |
\usepackage{tikz} | |
\usetikzlibrary{matrix,shapes,decorations.pathreplacing, backgrounds, positioning} | |
\usepackage{amssymb} | |
\begin{document} | |
\begin{tikzpicture}[ | |
%Styles | |
Matrix/.style={ | |
matrix of nodes, |
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library(rootSolve) | |
pvfun0 <- function(r, x, tau){ | |
pu <- ppois(x-1, r*tau, lower.tail = FALSE) | |
pl <- ppois(x, r*tau, lower.tail = TRUE) | |
2*pmin(pl, pu) | |
} | |
sol0 <-uniroot.all(f = function(p){pvfun0(p,5,10)-0.05}, | |
interval = c(0.1,3)) | |
sol0 | |
res_p |