person("Clark", "Andersen", email = "crandersen@mdanderson.org", role=c("cre","aut"))

Binary and Categorical Image Similarity Index
c(person(c("Geoffrey", "Thompson"),email="gzthompson@gmail.com",
role = c("aut", "cre"), comment = c(ORCID = '0000-0003-2436-8822')))
Computes a structural similarity metric (after the style of
MS-SSIM for images) for binary and categorical 2D and 3D images. Can be
based on accuracy (simple matching), Cohen's kappa, Rand index, adjusted
Rand index, Jaccard index, Dice index, normalized mutual information, or
adjusted mutual information. In addition, has fast computation
of Cohen's kappa, the Rand indices, and the two mutual informations.
Implements the methods of Thompson and Maitra (2020) <arXiv:2004.09073>.
Geoffrey Thompson [aut, cre] (<https://orcid.org/0000-0003-2436-8822>)

Special models for categorical variables
`sqtab' contains a set of functions for estimating
loglinear models for square tables such as quasi-independence,
symmetry, uniform association.
`mclgen' restructures a dataframe to enable the estimation of a
multinomial logistic model using the conditional logit program
`clogit'. This allows greater flexibility in imposing constraints on
the response variable. One application is to specify aforementioned
models for square tables as multinomial logistic models with
covariates at the respondent level.
`ctab' simplifies the production of (multiway( percentage tables.

"ctab" extends ftable with (multiway) percentage tables. "sqtab" contains a set of functions for estimating loglinear models for square tables such as quasi-independence, symmetry, uniform association. "mclgen" restructures a dataframe to enable the estimation of a multinomial logistic model using the conditional logit program "clogit". This allows greater flexibility in imposing constraints on the response variable. One application is to specify aforementioned models for square tables as multinomial logistic models with covariates at the respondent level.
Mon Apr 11 18:37:40 2005; John Hendrickx