Learn R Programming

CLME (version 2.0-12)

model_terms_clme: Create model matrices for clme

Description

Parses formulas to creates model matrices for clme.

Usage

model_terms_clme(formula, data)

Arguments

formula

a formula defining a linear fixed or mixed effects model. The constrained effect(s) must come before any unconstrained covariates on the right-hand side of the expression. The first ncon terms will be assumed to be constrained.

data

data frame containing the variables in the model.

Value

A list with the elements:

Y response variable
X1 design matrix for constrained effect
X2 design matrix for covariates
P1 number of constrained coefficients
U matrix of random effects
formula the final formula call (automatically removes intercept)
dframe the dataframe containing the variables in the model
REidx an element to define random effect variance components
REnames an element to define random effect variance components

See Also

CLME-package clme

Examples

Run this code
# NOT RUN {
data( rat.blood )
model_terms_clme( mcv ~ time + temp + sex + (1|id) , data = rat.blood )

# }

Run the code above in your browser using DataLab