modeledf: Retrieve the degrees of freedom specified in the model.

In itsadug: Interpreting Time Series and Autocorrelated Data Using GAMMs

Retrieve the degrees of freedom specified in the model.

Description

Retrieve the degrees of freedom specified in the model.

Usage

modeledf(model)

Arguments

model

A fitted regression model (using gam, or bam).

Value

Numeric value: degrees of freedom specified in the model.

See Also

Other Utility functions: convertNonAlphanumeric(), corfit(), diff_terms(), find_difference(), missing_est(), observations(), print_summary(), refLevels(), res_df(), summary_data(), timeBins()

Examples

data(simdat)

## Not run: 
# models take somewhat longer time to run:

# Fit simple GAM model:
gam1 <- bam(Y ~ s(Time), data=simdat, discrete=TRUE)
modeledf(gam1)
gam2 <- bam(Y ~ s(Time)+s(Time, Subject, bs='fs', m=1), 
    data=simdat, discrete=TRUE)
modeledf(gam2)
gam3 <- bam(Y ~ Subject+s(Time, by=Subject), 
    data=simdat, discrete=TRUE)
modeledf(gam3)
gam4 <- bam(Y ~ Group+s(Time)+s(Time, Subject, bs='fs', m=1), 
    data=simdat, discrete=TRUE)
modeledf(gam4) 
gam5 <- bam(Y ~ Group+s(Time, by=Group)+s(Time, Subject, bs='fs', m=1), 
    data=simdat, discrete=TRUE)
modeledf(gam5) 

# Fit a gamm:
gam6 <- gamm(Y ~ Group+s(Time), random=list(Subject=~1) data=simdat, discrete=TRUE)
# this produces an error...
modeledf(gam6)
# ... but this works:
modeledf(gam6$gam)

## End(Not run)

itsadug documentation built on June 17, 2022, 5:05 p.m.