Simfit: S3 generic for fitting models
In dejaVu: Multiple Imputation for Recurrent Events

Simfit

R Documentation

S3 generic for fitting models

Description

S3 generic for fitting models

Usage

Simfit(x, family = "negbin", equal.dispersion = TRUE, covar = NULL, ...)

Arguments

`x`	The S3 object
`family`	Either "negbin" for fitting a negative binomial model (using `MASS::glm.nb`), "poisson" for fitting a poisson model (`glm`) or "quasipoisson" for fitting a quasipoisson model `glm`
`equal.dispersion`	logical, should the arms have the same dispersion parameter when fitting negative binomial models
`covar`	A formula containing the additional covariates to be used when calling `glm.nb` if no covariates are included in the model this should be NULL, for example `~covar1 + covar2` See vignette for further details
`...`	Additional arguments to be passed to `glm` or `glm.nb`

Value

A SingleSimFit object

Examples

 
set.seed(1234)
sim <- SimulateComplete(study.time=1,number.subjects=50,
      event.rates=c(0.1,0.05),dispersions=0.1)
summary(Simfit(sim,equal.dispersion=TRUE))

dejaVu documentation built on Sept. 11, 2024, 8:24 p.m.