a072df48f0061865381e8591b04bc06c *DESCRIPTION
906ce76d4f35e5ecd6ec0655e2741030 *NAMESPACE
a2003cd31f8df36006f707f9325106c8 *R/VCR_DA.R
ef7485b8c77882ef70da215c86ac1ab5 *R/VCR_Daisy.R
f917347d7633ce2aef608abbcc493efc *R/VCR_SVM.R
cd5c879f91e56c788433f8736ae720df *R/VCR_auxiliaryFunctions.R
b8545432a60e0673a2bafd566b571765 *R/VCR_forest.R
64bb8337b7f01625d4d4f334cafcf69f *R/VCR_knn.R
e15f90832d51924935f3d45bb4f11945 *R/VCR_neuralnet.R
aa882901485bd6110bc4fc541196d842 *R/VCR_rpart.R
939ddb949ff937c3c1aafff4930f5f51 *R/VCR_visualization.R
9da01a04195a68746ff5ede4a7c57f7a *build/partial.rdb
cbacf62b9cb880ecbb132a92843ec9af *build/vignette.rds
31fc53589d0db59304237d14375149f2 *data/data_bookReviews.rdata
7767d1d9702ff0321f21e44dbf3f911e *data/data_floralbuds.rdata
5edbf35fecc911a45329781700b800e5 *data/data_instagram.rdata
18ec990c1eca22562e335eeb3d6088cb *data/data_titanic.rdata
8b02343cf2f741a7dc0cde4c5497cea9 *inst/doc/Discriminant_analysis_examples.R
ddd0600839c80e48c3e879b19051db3e *inst/doc/Discriminant_analysis_examples.Rmd
54e998a91ca0c466b1fc3c089c75f3c3 *inst/doc/Discriminant_analysis_examples.html
efb27b147a76c139f141ea863ef9874a *inst/doc/K_nearest_neighbors_examples.R
40b4fbdeb3b7c38120bac51d32da82c8 *inst/doc/K_nearest_neighbors_examples.Rmd
edf4189fa39b63f15341d52e2ef684bf *inst/doc/K_nearest_neighbors_examples.html
b63d42e8c237b13d15747911716787af *inst/doc/Neural_net_examples.R
2e16fad2b1722fc4594e2f581a5c62ea *inst/doc/Neural_net_examples.Rmd
9ea20d638301d00296da3931db43d41e *inst/doc/Neural_net_examples.html
e3731f02f2d73a60bd281d008e0df428 *inst/doc/Random_forest_examples.R
d28fcfd52e679047217a7a6febaaf02a *inst/doc/Random_forest_examples.Rmd
60ba7a44ff82e7d3d9e58841b53599dd *inst/doc/Random_forest_examples.html
0d0390905a49ffd31f61482ae9f07064 *inst/doc/Rpart_examples.R
c99b08c10e4fa94cc66358d2a8011ac1 *inst/doc/Rpart_examples.Rmd
bc4c26f26036399895cc86c14d84efde *inst/doc/Rpart_examples.html
441ae746ada8d8b718c05b56ccb351e9 *inst/doc/Support_vector_machine_examples.R
aedab0ddc7c3ae8aa868b2ee13fa3589 *inst/doc/Support_vector_machine_examples.Rmd
b88e405103bb0ef7d59d7b582bce6d6a *inst/doc/Support_vector_machine_examples.html
6709c1fcbea7e670c4deb56faaf4e873 *man/classmap.Rd
1983a081832a6375959f0da31a9329d9 *man/confmat.vcr.Rd
ba52baa370d3d722d06e9f7f54c099d6 *man/data_bookReviews.Rd
01de54032ef57cd0a417585b4a2681c0 *man/data_floralbuds.Rd
ae618160432706f098010b5591e3f8ec *man/data_instagram.Rd
89b87723fb606c50fb02f34d46686f2f *man/data_titanic.Rd
18f840c764a288ee41eda03ec507acf7 *man/makeFV.Rd
e68ed5140d48b2488849d58e90d9d6ba *man/makeKernel.Rd
38da89365726e6c8fc7cfa170d0f01e1 *man/silplot.Rd
844987af7a75478f7976ba20c594dfaa *man/stackedplot.Rd
9fd0af51d478020fbea8e060f898a2fb *man/vcr.da.newdata.Rd
4a9edf03660c92b2b4198dd01e51c169 *man/vcr.da.train.Rd
1183f2f33226ea27e1b2d55f94cc980a *man/vcr.forest.newdata.Rd
f0ef688da41b5fa97c876579423f1fe3 *man/vcr.forest.train.Rd
f1ba45f1ae3e60963d51e55fcd3bc5d1 *man/vcr.knn.newdata.Rd
9f7db346e18f9d2d7ef108cac494e1c6 *man/vcr.knn.train.Rd
8c3b9a701b3a526198cc6e905574d294 *man/vcr.neural.newdata.Rd
37a9ae1428e68c4274fe3d9648ed821a *man/vcr.neural.train.Rd
a5918c29f3ecf8c88d6a624d094fbd4f *man/vcr.rpart.newdata.Rd
db9f4d514df04a3dfa7d594dd71ce41d *man/vcr.rpart.train.Rd
44c518441da62f4470e7cc0be1cd1f64 *man/vcr.svm.newdata.Rd
53e6e0da306c16a99e67295479f0c069 *man/vcr.svm.train.Rd
ddd0600839c80e48c3e879b19051db3e *vignettes/Discriminant_analysis_examples.Rmd
40b4fbdeb3b7c38120bac51d32da82c8 *vignettes/K_nearest_neighbors_examples.Rmd
2e16fad2b1722fc4594e2f581a5c62ea *vignettes/Neural_net_examples.Rmd
d28fcfd52e679047217a7a6febaaf02a *vignettes/Random_forest_examples.Rmd
c99b08c10e4fa94cc66358d2a8011ac1 *vignettes/Rpart_examples.Rmd
aedab0ddc7c3ae8aa868b2ee13fa3589 *vignettes/Support_vector_machine_examples.Rmd
