xplode: Extract values from a fitted GLMM object

In MixedPsy: Statistical Tools for the Analysis of Psychophysical Data

Description

Extract values from an object of class "merMod" (more specifically, from an object of subclass glmerMod).

Usage

xplode(model, name.cont = NA, name.factor = NA, names.response = NA,
  define.pf = list(pf1 = list(intercept = 1, slope = 2)))

Arguments

model	The GLMM fitted with glmer. An object of class "merMod".
name.cont	A string providing the name of the continuous predictor, as in the formula object of the fitted model
name.factor	A string providing the name of name of the categorical predictor, as in the formula object of the fitted model
names.response	Optional. A string providing the name of name of the response variable, as in the formula object of the fitted model
define.pf	Optional. Specifies which parameter pertains to the intercept and which to the slope in the formula object.

Details

For simplicity, several MixedPsy functions take as input an object of class xplode instead of an object of class "merMod". Most of these functions assume by default that the continuous predictor is entered first in the formula object. It is possible to use a different order, this requires to specify which parameter pertains to the intercept and which to the slope, by changing define.pf.

Value

An object of class "merMod" to be used with other MixedPsy functions.

See Also

merMod-class and glmer from package lme4 for objects of class “merMod”. MixDelta, MixTreatment for use of objects of class xplode.obj.

Examples

library(lme4)
datafr = PsySimulate(nsubjects = 10)
mod1 = glmer(formula = cbind(Longer, Total - Longer) ~ X + (1 | Subject),
family = binomial(link = "probit"), data = datafr)
xplode.mod1 = xplode(model = mod1, name.cont = "X")
MixDelta(xplode.mod1)

MixedPsy documentation built on May 2, 2019, 3:40 p.m.