clmdu {lmap}

Cumulative Logistic (Restricted) MDU

Description

Cumulative Logistic (Restricted) MDU

Usage

clmdu(
  Y,
  X = NULL,
  S = 2,
  trace = FALSE,
  start = "svd",
  maxiter = 65536,
  dcrit = 1e-06
)

Arguments

Y

An N times R ordinal matrix coded with integers 1,2,.. .

X

An N by P matrix with predictor variables

S

Positive number indicating the dimensionality of the solution

trace

boolean to indicate whether the user wants to see the progress of the function (default=TRUE)

start

either starting values (list with (U,V) or (B,V)) or way to compute them (svd, random, ca)

maxiter

maximum number of iterations

dcrit

convergence criterion

Value

Y Matrix Y from input

Xoriginal Matrix X from input

X Scaled X matrix

mx Mean values of X

sdx Standard deviations of X

ynames Variable names of responses

xnames Variable names of predictors

probabilities Estimated values of Y

m main effects

U matrix with coordinates for row-objects

B matrix with regression weight (U = XB)

V matrix with vectors for items/responses

iter number of main iterations from the MM algorithm

deviance value of the deviance at convergence

Examples

## Not run: 
data(dataExample_clmdu)
Y<-dataExample_clmdu
X<-dataExample_clmdu
output1 = clmdu(Y)
plot(output1)
plot(output1, circles = NULL)
summary(output1)

output2 = clmdu(Y = Y, X = X)
plot(output2, circles = c(1,2))
summary(output2)

## End(Not run)