| 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. |