getmf: Produce fixed and random effects design matrices from single...

In growcurves: Bayesian Semi and Nonparametric Growth Curve Models that Additionally Include Multiple Membership Random Effects

Description

An internal function to dpgrow and dpgrowmm

Usage

getmf(formula, random.only, data, na.action)

Arguments

formula	A formula of format y ~ x_1 + x_2*x_3 | z_1*z_2 where | separates fixed (to the left of |) and random effects.
random.only	A boolean scalar used in the case that either fixed or random effects are entered in formula, but not both, which case the | is not entered (e.g. y ~ x_1 + x_2*x_3 . Then, if random.only == TRUE the variables on the right-hand side are interpreted to be random effects; otherwise fixed for use in dpgrow and dpgrowmm.
data	Associated data.frame containing names variables in formula
na.action	Should be left blank for use in dpgrow and dpgrowmm, where is automatically set to na.fail.

Value

res A list object containing list(y = y, x = x, z = z, m = m, mf = mf).

Note

Intended as an internal function for dpgrow and dpgrowmm

Author(s)

Terrance Savitsky [e-mail]

See Also

dpgrow dpgrowmm

growcurves documentation built on May 2, 2019, 7:03 a.m.