| glmmrBase-package | Generalised Linear Mixed Models in R |
| Beta | Beta distribution declaration |
| Covariance | R6 Class representing a covariance function and data |
| cross_df | Generate crossed block structure |
| cycles | Generates all the orderings of a |
| glmmrBase | Generalised Linear Mixed Models in R |
| match_rows | Generate matrix mapping between data frames |
| mcnr_family | Returns the file name and type for MCNR function |
| MeanFunction | R6 Class representing a mean function/linear predictor |
| Model | A GLMM Model |
| nelder | Generates a block experimental structure using Nelder's formula |
| nest_df | Generate nested block structure |
| parallel_crt | Generate a parallel cluster design |
| print.mcml | Prints an mcml fit output |
| progress_bar | Generates a progress bar |
| staircase_crt | Generate a staircase/diagonal trial design |
| stepped_wedge | Generate a stepped-wedge design |
| summary.mcml | Summarises an mcml fit output |
| yexample312a | Data for first example in Section 3.12 of JSS paper |
| yexample312b | Data for second example in Section 3.12 of JSS paper |
| yexample312c | Data for third example in Section 3.12 of JSS paper |
| ytest1 | Data for model tests |