Man pages for glmmrBase
Generalised Linear Mixed Models in R
| Beta | Beta distribution declaration |
| coef.mcml | Extracts fixed effect coefficients from a mcml object |
| coef.Model | Extracts coefficients from a Model object |
| confint.mcml | Fixed effect confidence intervals for a 'mcml' object |
| Covariance | R6 Class representing a covariance function and data |
| cross_df | Generate crossed block structure |
| cycles | Generates all the orderings of a |
| family.mcml | Extracts the family from a 'mcml' object. |
| family.Model | Extracts the family from a 'Model' object. This information... |
| fitted.mcml | Fitted values from a 'mcml' object |
| fitted.Model | Extract or generate fitted values from a 'Model' object |
| fixed.effects | Extracts the fixed effect estimates |
| formula.mcml | Extracts the formula from a 'mcml' object. |
| formula.Model | Extracts the formula from a 'Model' object |
| glmmrBase-package | Generalised Linear Mixed Models in R |
| hessian_from_formula | Automatic differentiation of formulae |
| lme4_to_glmmr | Map lme4 formula to glmmrBase formula |
| logLik.mcml | Extracts the log-likelihood from an mcml object |
| logLik.Model | Extracts the log-likelihood from an mcml object |
| match_rows | Generate matrix mapping between data frames |
| mcml_glmer | lme4 style generlized linear mixed model |
| mcml_lmer | lme4 style linear mixed model |
| mcnr_family | Returns the file name and type for MCNR function |
| MeanFunction | For the generalised linear mixed model |
| Model | A GLMM Model |
| nelder | Generates a block experimental structure using Nelder's... |
| nest_df | Generate nested block structure |
| predict.mcml | Predict from a 'mcml' object |
| predict.Model | Generate predictions at new values from a 'Model' object |
| print.mcml | Prints an mcml fit output |
| progress_bar | Generates a progress bar |
| Quantile | Family declaration to support quantile regression |
| random.effects | Extracts the random effect estimates |
| residuals.mcml | Residuals method for a 'mcml' object |
| residuals.Model | Extract residuals from a 'Model' object |
| Salamanders | Salamanders data |
| setParallel | Disable or enable parallelised computing |
| SimGeospat | Simulated data from a geospatial study with continuous... |
| SimTrial | Simulated data from a stepped-wedge cluster trial |
| summary.mcml | Summarises an mcml fit output |
| summary.Model | Summarizes a 'Model' object |
| vcov.mcml | Extract the Variance-Covariance matrix for a 'mcml' object |
| vcov.Model | Calculate Variance-Covariance matrix for a 'Model' object |
