strucParseFormula: Parse a mixed model formula

In stevencarlislewalker/lme4ord: Generalized Linear Mixed Models with Flexible (Co)Variance Structures

Description

Parse a mixed model formula

Usage

strucParseFormula(formula, data, addArgs = list(), reTrmsList = NULL,
  parList = NULL, ...)

## S3 method for class 'strucParseFormula'
print(x, ...)

## S3 method for class 'strucParseFormula'
model.matrix(object, ...)

## S3 method for class 'strucParseFormula'
simulate(object, nsim = 1, seed = NULL,
  weights = NULL, family = binomial(), ...)

getParTypes(object)

## S3 method for class 'strucParseFormula'
update(object, parList, ...)

Arguments

formula	mixed model formula
data	an object coercible to data frame
addArgs	list of additional arguments to setReTrm methods
reTrmsList	if NULL mkReTrmStructs is used
parList	potential named list of initial parameters
...	additional parameters to as.data.frame
x	strucParseFormula objects
object	strucParseFormula objects
nsim	number of simulations
seed	random seed (see set.seed)
weights	weights for each observation
family	family object

Value

A list with components:

response	The response vector
fixed	The fixed effects model matrix
random	List of random effects terms returned by mkReTrmStructs and updated with setReTrm.
Zt	The sparse transposed random effects model matrix, of class dgCMatrix.
Lambdat	The sparse transposed relative covariance factor, of class dgCMatrix
mapToModMat	function taking the loads parameters and returning the values of the non-zero elements of Zt (i.e. the x slot of Zt)
mapToCovFact	function taking the covar parameters and returning the values of the non-zero elements of Lambdat (i.e. the x slot of Lambdat)
initPars	The initial parameter vector
parInds	List of indices to the different types of parameters.
lower, upper	Vectors of lower and upper bounds on initPars.
devfunEnv	Environment of the deviance function.
formula	Model formula.

stevencarlislewalker/lme4ord documentation built on May 30, 2019, 4:43 p.m.