1035fd068909d18291904afd8ae91421 *DESCRIPTION
bcc902812aa6ef55cd2dfb2e30d3d8dc *NAMESPACE
9fd67920e7fdc15db01f48340888a3c6 *R/RcppExports.R
14023a87579e9bdbb67280795abc4d3e *R/allClasses.R
65824ad2f3e41a2e42cebb2903327af9 *R/cut.dataset.R
91f5f845e456918b69d60bfe22d380d8 *R/discretize.link.R
270b261879e371eb5d15e9a133127e41 *R/generic_cutpoints.R
d7de5253b14d68e3132e123d345b09c2 *R/generic_discretize.R
39bed7b8a91e3071b7c4e80a0e413cc3 *R/glmdisc.R
5e473e0282921737fec199fb94b20e28 *R/method_cutpoints.R
094648ec75f6d8b9ac2fe94ea6005808 *R/method_discretize.R
474e566dea01690b1af0bda8c9c38469 *R/method_plot.R
6c995ec25ec449560dd81b718eb66a86 *R/method_predict.R
5f09f8ca2f02afa7b334c6abdf33e811 *R/methods_disc.R
c5f347b03f583ac4134b3fb5e7c3d777 *R/normalizedGini.R
1aa0fd4f4c6486f4338d37d8294a1121 *R/semDiscretization.R
518e18625f70b467f0e189691370af1e *build/vignette.rds
9c7d3b396ba454c710fe108680cfc82f *inst/doc/glmdisc.R
eeb1c8e00b8c0fef9d855d3e1a262718 *inst/doc/glmdisc.Rmd
6a9ab5022cbf141286e86caa36dc5bbf *inst/doc/glmdisc.html
a5ca025421897acf875ec8f4e1a8eee3 *man/contr.ltfr.Rd
508b1fcc6b59eee4c33018a9afe50729 *man/cutpoints-method.Rd
8e24849ffc1948a57fb3ddcb16f1713a *man/discretize.Rd
2a5ae0a8df3acaa46a3d7847d0006f57 *man/glmdisc-class.Rd
b368756bbba2364d71a7c40e96fc64df *man/glmdisc-package.Rd
aa390587a2f799e60452fbfeb22eba48 *man/glmdisc.Rd
aeec1bb47e7471f3307e638f51dff729 *man/normalizedGini.Rd
991ef45d9f9df1a00e31b9f0aa702902 *man/plot.Rd
94a5cdf7b91bb1198371875ef715ba7c *man/predict.Rd
d4207f2c559498d1a2f271805872cd2f *man/predictlogisticRegression.Rd
311c20b78390c122df131a3fa8e8ab2c *src/RcppExports.cpp
82f5b93c21e59d3e94c6b521d44ab883 *src/rcpp_predictlogisticRegression.cpp
eeb1c8e00b8c0fef9d855d3e1a262718 *vignettes/glmdisc.Rmd
