poLCA: carcinoma – R documentation

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carcinoma

Diagnoses of carcinoma (sample data)

Description

Dichotomous ratings by seven pathologists of 118 slides for the presence or absence of carcinoma in the uterine cervix. Pathologists are labeled A through G. There were 20 different observed response patterns. This data set appears in Agresti (2002, p. 542) as Table 13.1.

Usage

data(carcinoma)

Format

A data frame with 118 observations on 7 variables representing pathologist ratings with 1 denoting "no" and 2 denoting "yes".

Source

Agresti, Alan. 2002. Categorical Data Analysis, second edition. Hoboken: John Wiley \& Sons.

Examples

##
## Replication of latent class models in Agresti (2002, p. 543), 
## Table 13.2 and Table 13.3.
##
data(carcinoma)
f <- cbind(A,B,C,D,E,F,G)~1
lca2 <- poLCA(f,carcinoma,nclass=2) # log-likelihood: -317.2568
lca3 <- poLCA(f,carcinoma,nclass=3) # log-likelihood: -293.705
lca4 <- poLCA(f,carcinoma,nclass=4,nrep=10,maxiter=5000) # log-likelihood: -289.2858

poLCA

Polytomous variable Latent Class Analysis

v1.4.1

GPL (>= 2)

Authors

Drew Linzer <drew@votamatic.org>, Jeffrey Lewis <jblewis@ucla.edu>.

Initial release

2014-01-09