get_random: Get coefficients for the random intercepts and random slopes.

In itsadug: Interpreting Time Series and Autocorrelated Data Using GAMMs

Get coefficients for the random intercepts and random slopes.

Description

Get coefficients for the random intercepts and random slopes.

Usage

get_random(model, cond = NULL, print.summary = getOption("itsadug_print"))

Arguments

model	A gam object, produced by gam or bam.
cond	A named list of the values to restrict the estimates for the random predictor terms. When NULL (default) all levels are returned. Only relevant for complex interactions, which involve more than two dimensions.
print.summary	Logical: whether or not to print a summary of the values selected for each predictor. Default set to the print info messages option (see infoMessages).

Value

The coefficients of the random intercepts and slopes.

Author(s)

Jacolien van Rij

See Also

Other Model predictions: get_coefs(), get_difference(), get_fitted(), get_modelterm(), get_predictions()

Examples

data(simdat)

## Not run: 
# Condition as factor, to have a random intercept
# for illustration purposes:
simdat$Condition <- as.factor(simdat$Condition)

# Model with random effect and interactions:
m2 <- bam(Y ~ s(Time) + s(Trial)
+ ti(Time, Trial)
+ s(Condition, bs='re')
+ s(Time, Subject, bs='re'),
data=simdat)

# extract all random effects combined:
newd <- get_random(m2)
head(newd)

# extract coefficients for the random intercept for Condition:
# Make bar plot:
barplot(newd[[1]])
abline(h=0)

# or select:
get_random(m2, cond=list(Condition=c('2','3')))

## End(Not run)

itsadug documentation built on June 17, 2022, 5:05 p.m.