Title: R Binding for the 'Certifiably Optimal RulE ListS (Corels)'
Description: The 'Certifiably Optimal RulE ListS (Corels)' learner by
Angelino et al described in <arXiv:1704.01701> provides interpretable decision
rules with an optimality guarantee, and is made available to R with this package.
See the file 'AUTHORS' for a list of copyright holders and contributors.

Depends: R (>= 3.0.1), ggplot2, gplots, RColorBrewer, igraph, stats,
Description: Includes binning categorical variables into lesser number of categories based on t-test, converting categorical variables into continuous features
using the mean of the response variable for the respective categories, understanding the relationship between the response variable and predictor variables
Packaged: 2015-10-30 14:20:19 UTC; santhoshkumar.sasana

Title: Record Linkage, Incorporating Imputation for Missing Agreement
Patterns, and Modeling Correlation Patterns Between Fields
Description: A matrix of agreement patterns and counts for record pairs is the input for the procedure.  An EM algorithm is used to impute plausible values for missing record pairs.  A second EM algorithm, incorporating possible correlations between per-field agreement, is used to estimate posterior probabilities that each pair is a true match - i.e. constitutes the same individual.

Title: Count Regression for Correlated Observations with the
person("Bryan D", "Martin", email = "bmartin6@uw.edu", role = c("aut", "cre")),
person("Daniela", "Witten", email = "dwitten@uw.edu", role = "aut"),
person("Amy D", "Willis", email = "adwillis@uw.edu", role = "aut")
Description: Statistical modeling for correlated count data using the beta-binomial distribution, described in Martin et al. (2020) <doi:10.1214/19-AOAS1283>. It allows for both mean and overdispersion covariates.
Imports: stats, utils, optimr, VGAM, numDeriv, Matrix, ggplot2, trust,
dplyr, magrittr, rmutil, detectseparation, scales, phyloseq
Suggests: knitr, rmarkdown, testthat, covr, limma, R.rsp

Imports: stats, utils, optimr, VGAM, numDeriv, ggplot2, trust, dplyr,
Suggests: knitr, rmarkdown, testthat, covr, limma, slam, R.rsp