modeledf | R Documentation |

Retrieve the degrees of freedom specified in the model.

modeledf(model)

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

Numeric value: degrees of freedom specified in the model.

Other Utility functions:
`convertNonAlphanumeric()`

,
`corfit()`

,
`diff_terms()`

,
`find_difference()`

,
`missing_est()`

,
`observations()`

,
`print_summary()`

,
`refLevels()`

,
`res_df()`

,
`summary_data()`

,
`timeBins()`

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)

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