MAINT.Data (version 0.5.1)

testMod-methods: Methods for Function testMod in Package `MAINT.Data'

Description

Performs statistical likelihood-ratio tests that evaluate the goodness-of-fit of a nested model against a more general one.

Usage

testMod(Idt,RestMod=1:length(Idt@ModelNames),FullMod="Next")

Arguments

Idt

An IData object representing NObs interval-valued entities

RestMod

Indices of the restricted models beeing evaluated in the NULL hypothesis

FullMod

Either indices of the general models beeing evaluated in the alternative hypothesis or the strings "Next" (default) or "All". In the former case a Restricted model is always compared against the most parsimonious alternative that encompasses it, and in latter all possible comparisons are performed

Value

See Also

ConfTests

Examples

# Create an Interval-Data object containing the intervals of temperatures by quarter 
# for 899 Chinese meteorological stations.

ChinaT <- IData(ChinaTemp[1:8])

# Estimate by maximum likelihood the parameters of Gaussian models 
# with configurations C1, C3, C4 and C5 for the Winter (1st and 4th) quarter intervals
#ChinaWTE <- mle(ChinaT[,c(1,4)],Config=c(1,3,4,5))
ChinaWTE <- mle(ChinaT[,c(1,4)])
cat("China maximum likelhiood estimation results for Winter quarters:\n")
print(ChinaWTE)

# Perform Likelihood-Ratio tests comparing models with consecutive nested Configuration 
testMod(ChinaWTE)

# Perform Likelihood-Ratio tests comparing all possible models 
testMod(ChinaWTE,FullMod="All")

# Compare model with covariance Configuration 4 
# against model with covariance Configuration 1 (unrestricted covariance)  
testMod(ChinaWTE,RestMod=4,FullMod=1)