treatments {trouBBlme4SolveR}

Data for the Cross Validated question lme4: glmer() warning messages with count data mixed-effects model and how to proceed with model fit

Description

A continuous variable to be used as outcome (total_no), another to be used as predictor (week), two factor variables to be used as predictors (treatment and fzone) and another factor to be used as cluster for the random effects (plot) of a Poisson model failing to converge, and an extra variable.

Usage

data("treatments")

Format

A data frame with 142 observations on the following 7 variables.

plot

a numeric vector

date

a character vector

total_no

a numeric vector

zone

a character vector

treatment

a character vector

week

a numeric vector

fzone

a character vector

Source

lme4: glmer() warning messages with count data mixed-effects model and how to proceed with model fit

Examples

data(treatments)
str(treatments)

library(lme4)
glmm.1 <- glmer(total_no ~ week*treatment*fzone + (1|plot), data = treatments,
              family = poisson)
summary(glmm.1)
glmm.11 <- dwmw(glmm.1, verbose = TRUE)
summary(glmm.11)