Constrained Inference for Linear Mixed Effects Models
Akaike information criterion
Constructor method for objects S3 class clme
Bayesian information criterion
Constrained inference for linear mixed models.
Constrained Inference for Linear Mixed Effects Models
Constrained EM algorithm for linear fixed or mixed effects models.
Computes various types of residuals
Individual confidence intervals
Generate common order constraints
Extract fixed effects
Extract formula
Log-likelihood
Likelihood ratio type statistic (global)
MINQUE Algorithm
Extract the model design matrix.
Create model matrices for clme
Number of observations
S3 method to plot objects of class clme
S3 method to plot objects of class clme
Printout of fitted object.
S3 method to print a summary for objects of class clme
Printout for variance components
Extract random effects
Extract random effects
Obtain Residual Bootstrap
Various types of residuals
Shiny GUI for CLME
Residual variance components
Residual variance components
Produce summary values for objects of class clme
Variance components
Variance-covariance matrix
Williams' Type Test Statistic.
Estimation and inference for linear models where some or all of the fixed-effects coefficients are subject to order restrictions. This package uses the robust residual bootstrap methodology for inference, and can handle some structure in the residual variance matrix.