construct.init.setup: Get an initial distribution design setup object

In cthmm: Latent Continuous Time Markov Chains

Description

Get an initial distribution design setup object

Usage

  construct.init.setup(num.states = NULL, states = NULL,
    ref = 1, fixed.dist = NULL, design.matrix = NULL,
    covariate.array = NULL, deriv.array = NULL,
    param.values = NULL, param.types = NULL,
    variable.predictors = NULL)

Arguments

num.states	number of hidden states
states	vector of index of states with non-zero initial probabilities, not including ref state
ref	index of reference state
fixed.dist	option fixed initial distribution (same for all subjects)
design.matrix	array of dim(num beta parameters, initial states) that encode the variables/constants used in linear predictors of log(emission_ij). Variables are named, and constants are entered as constants. The rows correspond to the transitions in the states entry.
covariate.array	(dim=c(num.betas,num.thetas, num.subjects)) with covariates values for all subjects
deriv.array
param.values	inital or fixed values of beta parameters
param.types	a vector of length(num.beta.parameters), with entries=0 if parameter is free, 1 if fixed at param.value.
variable.predictors	matrix with columns "i" and "j" that encode the variable predictors in the design.matrix

Value

init.setup object

Author(s)

Jane Lange

cthmm documentation built on May 2, 2019, 5:46 p.m.