R: A Compilation of Applicability Domain Methods

# A Compilation of Applicability Domain Methods

## Documentation for package ‘applicable’ version 0.1.1

- DESCRIPTION file.

## Help Pages

ames_new | Recent Ames Iowa Houses
apd_hat_values | Fit a 'apd_hat_values'
apd_hat_values.data.frame | Fit a 'apd_hat_values'
apd_hat_values.default | Fit a 'apd_hat_values'
apd_hat_values.formula | Fit a 'apd_hat_values'
apd_hat_values.matrix | Fit a 'apd_hat_values'
apd_hat_values.recipe | Fit a 'apd_hat_values'
apd_isolation | Fit an isolation forest to estimate an applicability domain.
apd_isolation.data.frame | Fit an isolation forest to estimate an applicability domain.
apd_isolation.default | Fit an isolation forest to estimate an applicability domain.
apd_isolation.formula | Fit an isolation forest to estimate an applicability domain.
apd_isolation.matrix | Fit an isolation forest to estimate an applicability domain.
apd_isolation.recipe | Fit an isolation forest to estimate an applicability domain.
apd_pca | Fit a 'apd_pca'
apd_pca.data.frame | Fit a 'apd_pca'
apd_pca.default | Fit a 'apd_pca'
apd_pca.formula | Fit a 'apd_pca'
apd_pca.matrix | Fit a 'apd_pca'
apd_pca.recipe | Fit a 'apd_pca'
apd_similarity | Applicability domain methods using binary similarity analysis
apd_similarity.data.frame | Applicability domain methods using binary similarity analysis
apd_similarity.default | Applicability domain methods using binary similarity analysis
apd_similarity.formula | Applicability domain methods using binary similarity analysis
apd_similarity.matrix | Applicability domain methods using binary similarity analysis
apd_similarity.recipe | Applicability domain methods using binary similarity analysis
autoplot.apd_pca | Plot the distribution function for principal components
autoplot.apd_similarity | Plot the cumulative distribution function for similarity metrics
binary | Binary QSAR Data
binary_tr | Binary QSAR Data
binary_unk | Binary QSAR Data
okc_binary | OkCupid Binary Predictors
okc_binary_test | OkCupid Binary Predictors
okc_binary_train | OkCupid Binary Predictors
print.apd_hat_values | Print number of predictors and principal components used.
print.apd_pca | Print number of predictors and principal components used.
print.apd_similarity | Print number of predictors and principal components used.
qsar_binary | Binary QSAR Data
score | A scoring function
score.apd_hat_values | Score new samples using hat values
score.apd_isolation | Predict from a 'apd_isolation'
score.apd_pca | Predict from a 'apd_pca'
score.apd_similarity | Score new samples using similarity methods
score.default | A scoring function