Parses formulas to creates model matrices for
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
data frame containing the variables in the model.
A list with the elements:
|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|
The first term on the right-hand side of the formula should be the fixed effect
with constrained coefficients. Random effects are represented with a vertical bar,
so for example the random effect
U would be included by
Y ~ X1 + (1|U).
The intercept is removed automatically. This is done to ensure that parameter estimates are of the means of interest, rather than being expressed as a mean with offsets.
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