confint_2levels: Calculate 95 and 99.5 CIs for a given model.

In LiamDBailey/baileyetal2021: Bird populations most exposed to climate change are less sensitive to climatic variation

Description

Determine 95 and 99.5 CIS for both spaMM and lmer models.

Usage

confint_2levels(mod, method, model_type = "lmer", ...)

Arguments

mod	A model object. Fitted with either spaMM or lmer.
method	Character string. For lmer, should CIs be calculated with Wald or bootstrap?
model_type	Character string. Is the model "lmer" or "spaMM".
...	Additional arguments passed to 'confint' function (e.g. iterations for bootstrap)

Value

A data frame with CIs for coefficients.

Examples

#Fit test models
mod_lmer  <- lme4::lmer(disp ~ mpg + (1|cyl), data = mtcars)

#Calculate CIs
confint_2levels(mod_lmer, method = "boot", model_type = "lmer", n = 100)

LiamDBailey/baileyetal2021 documentation built on Feb. 10, 2022, 12:34 a.m.