doMT: doMT: estimate mpt model using multiTree

In moshagen/multiTreeR: R interface for multiTree

Description

Estimate an MPT model using multiTree

Usage

doMT(fEqn, data, catlabels = NULL, restrictions = NULL, fOut = "",
  lambda = 0, numRep = 3, maxIter = 10000, convergence = 1e-10,
  CI = 95, bootstrapSamples = 0, jacobian = FALSE, fia = FALSE)

Arguments

fEqn	eqn file location.
data	either a string pointing to a mdt file or a N*M data matrix or a N*M data frame.
catlabels	A string vector of category labels (matching the heading of the data file), only required for data matrix.
restrictions	= either a string pointing to a restrictions file or a list containing restrictions e.g. list("a=b", "a=.5").
fOut	filename where outputfile should be written.
lambda	lambda value for PD^lamda used in minimization and fit assessment.
numRep	how many times parameter estimation should be repeated (to avoid local minima).
maxIter	maximum number of iterations.
convergence	convergence criterion.
CI	size of confidence interval in %, e.g. 95 for 95%
jacobian	whether to compute the jacobian.
fia	whether to compute the fisher information approximation of the minimum description length.
bootstrap	samples number of bootstrap samples. 0 = no bootstrap.

Value

mt results object (list)

Examples

## Not run: 
mtres <- doMT('2HT.eqn', '2HT.mdt', restrictions=list("g = 0.5"))
mtres$paramEst
summary(mtres)

## End(Not run)

moshagen/multiTreeR documentation built on May 23, 2019, 6:12 a.m.