lrt.glm: Computes a likelihood ratio test between a reduced model and...

In datana: Datasets and Functions to Accompany Analisis De Datos Con R

Computes a likelihood ratio test between a reduced model and a full model. Both models must be already fitted using and R function.

Description

Computes a likelihood ratio test between a reduced model (modr) and a full model (modr). Both models must be previously fitted by maximum likelihood using an R function such as nlme() and such, that are part of the generalized lineal models.

Usage

lrt.glm(modr, modf)

Arguments

modr	is the object containing a previously fitted reduced model, using a glm-type of function, having less parameters than modf.
modf	is the object containing a previously fitted full model, using a glm-type of function, having more parameters than modr.

Details

Double-check the order of the reduced and full model, before of using the model

Value

This function returns an object having the following elements: "loglik.Modr" maximized log-likelihood of modr; "loglik.Modf" maximized log-likelihood of modf; "dif.loglik" difference in log-likelihood between both models, and "dif.df" difference in degrees of freedong of both models, and "p-value" is the p-value for the LRT.

Author(s)

Christian Salas-Eljatib.

References

Pinheiro JC, and Bates DM. 2000. Mixed-effects models in S and Splus. Springer-Verlag, New York, NY. 528 p.

Examples

#not yet implemented

datana documentation built on June 13, 2025, 1:11 a.m.