Zero truncated Poisson regression {Rfast2} | R Documentation |
Zero truncated Poisson regression
Description
Zero truncated Poisson regression.
Usage
ztp.reg(y, x, full = FALSE, tol = 1e-07, maxiters = 100)
Arguments
y |
The dependent variable, a numerical vector with integer valued numbers. |
x |
A matrix or a data.frame with the indendent variables. |
full |
If you want full information (standard errors, Walt test statistics and p-values of the regression coefficients) set this equal to TRUE. |
tol |
The tolerance value required by the Newton-Raphson to stop. |
maxiters |
The maximum iterations allowed. |
Details
A zero truncated poisson regression model is fitted.
Value
A list including:
be |
The regression coefficients if "full" was set to FALSE. |
info |
This is returned only if "full" was set to TRUE. It is a matrix with the regression coefficients, their standard errors, Walt test statistics and p-values. |
loglik |
The loglikelihood of the regression model. |
iter |
The iterations required by the Newton-Raphson. |
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
See Also
Examples
y <- rpois(100, 5)
y[y == 0] <- 1
x <- matrix( rnorm(100 * 5), ncol = 5 )
mod <- ztp.reg(y, x)