Zero truncated Poisson regression
Zero truncated Poisson regression.
ztp.reg(y, x, full = FALSE, tol = 1e-07, maxiters = 100)
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. |
A zero truncated poisson regression model is fitted.
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. |
Michail Tsagris
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
y <- rpois(100, 5) y[y == 0] <- 1 x <- matrix( rnorm(100 * 5), ncol = 5 ) mod <- ztp.reg(y, x)
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