R: Singular Linear Models for Longitudinal Data

# Singular Linear Models for Longitudinal Data

## Documentation for package ‘slim’ version 0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

slim-package | Singular linear models for longitudinal data.
coef.slim | Extract Model Coefficients from Singular Linear Model
compute_laurent | Laurent Expansion of Inverse of Linear Matrix Function
confint.slim | Confidence Intervals for Model Parameters from Singular Linear Model
dialysis | Renal Function in Three Groups of Peritoneal Dialysis Patients
fitted.slim | Extract Model Fitted Values from Singular Linear Model
fit_slim | Fitter Function for Singular Linear Models
list_covariances | List Covariance Matrices for Every Subject
list_covariances.character | List Covariance Matrices for Every Subject
list_covariances.function | List Covariance Matrices for Every Subject
list_covariances.jmcmMod | List Covariance Matrices for Every Subject
list_covariances.list | List Covariance Matrices for Every Subject
list_covariances.lmerMod | List Covariance Matrices for Every Subject
predict.slim | Model Predictions from Singular Linear Model
print.slim | Print 'slim' Objects
print.slim_summary | Print 'slim' Objects
residuals.slim | Extract Model Residuals from Singular Linear Model
slim | Fit Singular Linear Models
slim.methods | Methods for Singular Linear Model Fits
summary.slim | Summarizing Singular Linear Model Fits
vcov.slim | Extract Variance-Covariance Matrix from a 'slim' Object