ccmle: Maximum Likelihood Estimation of Cultural Competence Scores
In SubCultCon: Maximum-Likelihood Cultural Consensus Analysis with Sub-Cultures

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/ccmle.R

Given a matrix of answers, the function returns the maximum-likelihood estimates of the informants' competence scores, and an answer key estimated using the matrix of answers, weighted by the competence scores.

1	ccmle(answermat)

answermat

A matrix of informant answers to a fixed set of questions. The matrix should have n rows and m columns, where n is the number of informants and m is the number of questions. The element in row i and column j should be the answer provided to question j, by informant i. All questions should have the same number of possible responses.

Each question in answermat should have the same number of possible responses.

`comp`	Maximum-likelihood estimates of the competence scores
`key`	Estimate of the answer key
`conv`	Indication of convergence – a value of 0 means convergence; anything else means failure
`val`	The value of the negative log likelihood function at the solution

Mary C Meyer, Professor, Statistics Department, Colorado State University.

Kimball A. Romney, Susan C. Weller, and William H. Batchelder (1986). Culture as Consensus: A Theory of Culture and Informant Accuract. American Anthropologist 88(2)

ccgrouptest, GAmaxcomp

data(contagion)
## Compute the competence scores and the answer key for the contagion data
mlescores=ccmle(contagion$answermat)
## make a histogram of the competence scores
hist(mlescores$comp,main="Competency Scores for the Informants",br=28:50/50)
## look at the answer key
mlescores$key