R: Constrained Inference for Linear Mixed Effects Models

# Constrained Inference for Linear Mixed Effects Models

## Documentation for package ‘CLME’ version 2.0-13

- DESCRIPTION file.
- Package NEWS.

## Help Pages

CLME-package | Constrained inference for linear mixed models.
AIC.clme | Akaike information criterion
AIC.summary.clme | Akaike information criterion
as.clme | Constructor method for objects S3 class clme
BIC.clme | Bayesian information criterion
BIC.summary.clme | Bayesian information criterion
CLME | Constrained inference for linear mixed models.
clme | Constrained Inference for Linear Mixed Effects Models
clme_em | Constrained EM algorithm for linear fixed or mixed effects models.
clme_em_fixed | Constrained EM algorithm for linear fixed or mixed effects models.
clme_em_mixed | Constrained EM algorithm for linear fixed or mixed effects models.
clme_resids | Computes various types of residuals
coef.clme | Extract fixed effects
coef.summary.clme | Extract fixed effects
coefficients.clme | Extract fixed effects
coefficients.summary.clme | Extract fixed effects
confint.clme | Individual confidence intervals
confint.summary.clme | Individual confidence intervals
create.constraints | Generate common order constraints
fibroid | Fibroid Growth Study
fixed.effects | Extract fixed effects
fixed.effects.clme | Extract fixed effects
fixed.effects.summary.clme | Extract fixed effects
fixef.clme | Extract fixed effects
fixef.summary.clme | Extract fixed effects
formula.clme | Extract formula
is.clme | Constructor method for objects S3 class clme
logLik.clme | Log-likelihood
logLik.summary.clme | Log-likelihood
lrt.stat | Likelihood ratio type statistic (global)
minque | MINQUE Algorithm
model.matrix.clme | Extract the model design matrix.
model.matrix.summary.clme | Extract the model design matrix.
model_terms_clme | Create model matrices for 'clme'
nobs.clme | Number of observations
nobs.summary.clme | Number of observations
plot.clme | S3 method to plot objects of class 'clme'
plot.summary.clme | S3 method to plot objects of class 'clme'
print.clme | Printout of fitted object.
print.summary.clme | S3 method to print a summary for objects of class 'clme'
print.varcorr_clme | Printout for variance components
random.effects | Extract random effects
random.effects.clme | Extract random effects
random.effects.summary.clme | Extract random effects
ranef.clme | Extract random effects
ranef.summary.clme | Extract random effects
rat.blood | Experiment on mice
residuals.clme | Various types of residuals
residuals.summary.clme | Various types of residuals
resid_boot | Obtain Residual Bootstrap
shinyServer_clme | Shiny GUI for CLME
shinyUI_clme | Shiny GUI for CLME
shiny_clme | Shiny GUI for CLME
sigma.clme | Residual variance components
sigma.summary.clme | Residual variance components
summary.clme | Produce summary values for objects of class 'clme'
VarCorr | Variance components
VarCorr.clme | Variance components
VarCorr.summary.clme | Variance components
vcov.clme | Variance-covariance matrix
vcov.summary.clme | Variance-covariance matrix
w.stat | Williams' Type Test Statistic.
w.stat.ind | Williams' Type Test Statistic.