get_coefs: Get coefficients for the parametric terms (intercepts and...

In itsadug: Interpreting Time Series and Autocorrelated Data Using GAMMs

Get coefficients for the parametric terms (intercepts and random slopes).

Description

Wrapper around the function coef, and loosely based on summary.gam. This function provides a much faster alternative for summary(model)$p.table. The function summary.gam) may take considerably more time for large models, because it additionally needs to calculate estimates for the smooth term table.

Usage

get_coefs(model, se = TRUE)

Arguments

model	A gam object, produced by gam or bam.
se	Logical: whether or not to return the standard errors.

Value

The coefficients of the parametric terms.

Author(s)

Jacolien van Rij

See Also

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

Examples

data(simdat)

# Condition as factor, to have a random intercept
# for illustration purposes:
simdat$Condition <- as.factor(simdat$Condition)

# Model with random effect and interactions:
m1 <- bam(Y ~ Group * Condition + s(Time),
    data=simdat)

# extract all parametric coefficients:
get_coefs(m1)
# calculate t-values:
test <- get_coefs(m1)
test <- cbind(test, test[,1] / test[,2] )
colnames(test)[3] <- 't-value'
test

# get_coefs returns the same numbers as shown in the parametric summary:
summary(m1)
# get_coefs is based on the function coef. This function returns 
# values of all coefficients, and does not provide SE:
coef(m1)

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