modelInt_predict: Prediction interval for a fitted 'merMod' object. See 'lmer',...

In PabloCapilla/WeaverTools: Collection of functions to handle sparrow weaver project data

Description

This function uses bootMer to bootstrap a mixed model and calculate prediction intervals.

Usage

modelInt_predict(model, df, n_sim = 100, prob = 0.95, cluster = NULL,
  cluster_name = NULL, ...)

Arguments

model	fitted merMod object
df	data frame with new combination of fixed effect values to generate prediction
n_sim	number of bootstrap simulation
prob	probability for the predicted interval
cluster	logical. TRUE / FALSE for whether to use parallele computing. See bootMer
cluster_name	if cluster = TRUE, a user-defined cluster name
...	see bootMer for more argument options

Details

See bootMer and boot for further details. information about the presence/absence of the incubating individual in the nest.

Value

Data frame with prediction interval

PabloCapilla/WeaverTools documentation built on Nov. 22, 2019, 5 a.m.