validate: Assess model fit for multiple models through DHARMa residual...

In seanhardison1/dream: functions you shouldn't need to think about

Assess model fit for multiple models through DHARMa residual simulation

Description

This function applies DHARMa validation tests to a user-specified list of models. Tests look for agreement between simulated and empirical residuals; assessing models for dispersion, zero-inflation, anomalous prevalence of outliers, and deviations from expected distributions.

Usage

validate(mod_set, n = 1000)

Arguments

mod_set	A list of model objects.
n	Number of DHARMa simulations to generate from each model.

Details

Applies DHARMa residual diagnostics test to a list of models.

Value

Returns a data.frame containing model formulas for each model and P values for each test applied.

References

Hartig, Florian. 2017. “DHARMa: Residual Diagnostics for Hierarchical (Multi-Level/Mixed) Regression Models.” R Package Version 0.1 5.

Examples

library(glmmTMB)
mod_list <- list()
mod_list[[1]] <- glmmTMB(count ~ mined + (1|site), zi=~mined, family=poisson, data=Salamanders)
mod_list[[2]] <- glmmTMB(count ~ mined + cover + (1|site), zi=~mined, family=poisson, data=Salamanders)
mod_list[[3]] <- glmmTMB(count ~ mined + cover + spp + (1|site), zi=~mined, family=poisson, data=Salamanders)
dream::validate(mod_list)

seanhardison1/dream documentation built on Feb. 28, 2024, 12:36 p.m.