A Compilation of Applicability Domain Methods

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Documentation for package ‘applicable’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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