| dispersion_evaluation | Dispersion and mean count from a glmmTMB model |
| dungan_counts | Dungan et al 2022 counts |
| generic_evaluation | Generic evaluation for model fits |
| generic_evaluation.default | Generic evaluation for model fits |
| generic_evaluation.gam | Generic evaluation for model fits |
| generic_evaluation.glm | Generic evaluation for model fits |
| generic_evaluation.glmmTMB | Generic evaluation for model fits |
| generic_evaluation.gls | Generic evaluation for model fits |
| generic_evaluation.lm | Generic evaluation for model fits |
| generic_evaluation.lme | Generic evaluation for model fits |
| generic_evaluation.merMod | Generic evaluation for model fits |
| generic_evaluation.negbin | Generic evaluation for model fits |
| generic_evaluation.NULL | Generic evaluation for model fits |
| generic_summary | Generic summaries for model parameter estimates. |
| plot.seqwrap_priors | Plot priors over the estimates they were built from |
| print.seqwrapResults | Print method for objects of class seqwrapResults |
| print.seqwrap_priors | Print method for seqwrap_priors objects |
| residual_diagnostics | Residual diagnostics using DHARMa |
| seqwrap | A flexible upper-level wrapper for iterative modelling using any available fitting algorithm |
| seqwrapResults | seqwrapResults class |
| seqwrap_cache_clear | Remove a seqwrap disk cache |
| seqwrap_compose | Compose a swcontainer object for use in the seqwrap function. |
| seqwrap_errors | Errors and warnings from a seqwrap run |
| seqwrap_priors | Build empirical Bayes priors for glmmTMB from a seqwrap run |
| seqwrap_summarise | Summarise seqwrapResults objects |
| simcounts | Simulate counts from a simple experiment (paired or unpaired) using Poisson or negative binomial distributions. |
| simcounts2 | Simulate counts from a parallel groups design with three time-points |
| swcontainer | seqwrap container class |
| sw_print_priors | Print method for seqwrap_priors objects |