LRTpv.fun {NHPoisson}

Calculate the p-value of a likelihood ratio test for each covariate in the model

Description

This function calculates, for each covariate in the model (except the intercept), the p-value of a likelihood ratio test comparing the original fitted NHPP with the model excluding that covariate from the linear predictor.

Usage

LRTpv.fun(mlePP)

Arguments

mlePP

An object of class mlePP-class; usually, the output from fitPP.fun. The fitted model cannot include fixed parameters.

Details

A LRT is carried for all the covariates in the linear predictor except the intercept. If the model has not an intercept and there is only one covariate, no test can be carried out.

Value

A matrix with one column, which contains the LRT p-values for all the covariates in the model (except the intercept)

See Also

fitPP.fun, testlik.fun, dropAIC.fun, addAIC.fun

Examples

data(BarTxTn)
covB<-cbind(cos(2*pi*BarTxTn$dia/365), sin(2*pi*BarTxTn$dia/365), 
	BarTxTn$TTx,BarTxTn$Txm31,BarTxTn$Txm31**2)
BarEv<-POTevents.fun(T=BarTxTn$Tx,thres=318, 
	date=cbind(BarTxTn$ano,BarTxTn$mes,BarTxTn$dia))

mod1B<-fitPP.fun(tind=TRUE,covariates=covB, 
	posE=BarEv$Px, inddat=BarEv$inddat,
	tit="BAR Tx; cos, sin, TTx, Txm31, Txm31**2", 
	start=list(b0=-100,b1=1,b2=10,b3=0,b4=0,b5=0),dplot=FALSE, modCI=FALSE)

LRTpv.fun(mod1B)