View source: R/boot.pois.env.R
boot.pois.env | R Documentation |
Compute bootstrap standard error for the envelope estimator in poisson regression.
boot.pois.env(X, Y, u, B)
X |
Predictors. An n by p matrix, p is the number of predictors and n is number of observations. The predictors must be continuous variables. |
Y |
Response. An n by 1 matrix. The univariate response must be counts. |
u |
Dimension of the envelope. An integer between 0 and p. |
B |
Number of bootstrap samples. A positive integer. |
This function computes the bootstrap standard errors for the coefficients in the poisson regression envelope by the paired bootstrap.
The output is a p by 1 matrix.
bootse |
The standard error for elements in beta computed by bootstrap. |
data(horseshoecrab)
X1 <- as.numeric(horseshoecrab[ , 1] == 2)
X2 <- as.numeric(horseshoecrab[ , 1] == 3)
X3 <- as.numeric(horseshoecrab[ , 1] == 4)
X4 <- as.numeric(horseshoecrab[ , 2] == 2)
X5 <- as.numeric(horseshoecrab[ , 2] == 3)
X6 <- horseshoecrab[ , 3]
X7 <- horseshoecrab[ , 5]
X <- cbind(X1, X2, X3, X4, X5, X6, X7)
Y <- horseshoecrab[ , 4]
B <- 100
## Not run: bootse <- boot.pois.env(X, Y, 1, B)
## Not run: bootse
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.