Item-by-Item Iterative Model Fitting


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Documentation for package ‘seqwrap’ version 0.8.1

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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