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. |