summary.TEfit: Summarize a time-evolving fit

In akcochrane/TEfits: Time-evolving model fits

Summarize a time-evolving fit

Description

Prints or returns a summary of a TEfit object. This includes parameter values, convergence, the full formula, goodness-of-fit metrics, measures of change in conditional independence, and (if applicable) distributional information from resampling.

Usage

## S3 method for class 'TEfit'
summary(TEs3, printOutput = T)

Arguments

TEs3	A fit TEfit model
printOutput	Print output to console (if T) or return a list of summary items (if F)

Details

Pseudo-SE is an approximation to the standard error of the parameter using bootstrapped estimates. It is calculated by first calculating the .025 and .975 quantile() of the resampled parameters. Then, the absolute difference is calculated between each of these CI values and the overall fit value. The absolute differences are divided by qnorm(.975) and averaged in order to get the pseudo-SE, the pseudo standard deviation of the parameter expected value.

Examples

## Not run: 
m <- TEfit(anstrain_s1[,c('acc','trialNum')])
summary(m)

## End(Not run)

akcochrane/TEfits documentation built on June 12, 2025, 11:10 a.m.