summary.lmmfit: Extract model fits from step 1 of PRC-LMM

Description

Summary function to extract the estimated fixed effect parameters and variances of the random effects from an object fitted using `fit_lmms`

Usage

# S3 method for lmmfit
summary(object, yname, what = "betas", ...)

Value

A vector containing the estimated fixed-effect parameters if `what = 'betas'`, the usual T table produced by `nlme` if `what = 'tTable'`, or the estimated variance-covariance matrix of the random effects and the estimated variance of the error if `what = 'variances'`

Arguments

object: the output of `fit_lmms`
yname: a character giving the name of the longitudinal variable for which you want to extract information
what: one of the following: `'betas'` for the estimates of the regression coefficients; `'tTable'` for the usual T table produced by `nlme`; `'variances'` for the estimates of the variances (and covariances) of the random effects and of the variance of the error term
...: additional arguments

Author

Mirko Signorelli

References

Signorelli, M. (2024). pencal: an R Package for the Dynamic Prediction of Survival with Many Longitudinal Predictors. The R Journal, 16 (2), 134-153.