mru: Multinomial Restricted MDU

In lmap: Logistic Mapping

Multinomial Restricted MDU

Description

The function mru performs multinomial restricted unfolding for a nominal response variable and a set of predictor variables.

Usage

mru(y, X, Z = NULL, S = 2, start = "da", maxiter = 65536, dcrit = 1e-06)

Arguments

y	An N vector of the responses (categorical) or an indicator matrix of size N x C (obligatory when Z is used)
X	An N by P matrix with predictor variables
Z	Design matrix for the class points (V)
S	Positive number indicating the dimensionality of the solution
start	Type of starting values (da: discriminant analysis, random or list with B and V)
maxiter	maximum number of iterations
dcrit	convergence criterion

Value

Y Matrix Y from input

Xoriginal Matrix X from input

X Scaled X matrix

G class indicator matrix

ynames class names of response variable

xnames variable names of the predictors

mx means of the predictor variables

sdx standard deviations of the predictor variables

U coordinate matrix of row objects

B matrix with regression coefficients

V Class coordinate matrix

iters number of iterations

deviance value of the deviance at convergence

Examples

## Not run: 
data(dataExample_mru)
y = as.matrix(dataExample_mru[ , 1])
X = as.matrix(dataExample_mru[ , 2:6])
output = mru(y = y, X = X, S = 2)

## End(Not run)

lmap documentation built on April 3, 2025, 5:47 p.m.