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. |