Rdocumentation
powered by
Learn R Programming
DPpack
Copy Link
Link to current version
Version
Version
0.2.2
0.2.1
0.2.0
0.1.0
0.0.11
0.0.1
Install
install.packages('DPpack')
Monthly Downloads
257
Version
0.2.2
License
GPL-3 | file LICENSE
Maintainer
Spencer Giddens
Last Published
October 20th, 2024
Functions in DPpack (0.2.2)
Search all functions
WeightedERMDP.CMS
Privacy-preserving Weighted Empirical Risk Minimization
LogisticRegressionDP
Privacy-preserving Logistic Regression
LaplaceMechanism
Laplace Mechanism
ExponentialMechanism
Exponential Mechanism
covDP
Differentially Private Covariance
GaussianMechanism
Gaussian Mechanism
LinearRegressionDP
Privacy-preserving Linear Regression
calibrateAnalyticGaussianMechanism
Calibrate Analytic Gaussian Mechanism
EmpiricalRiskMinimizationDP.CMS
Privacy-preserving Empirical Risk Minimization for Binary Classification
EmpiricalRiskMinimizationDP.KST
Privacy-preserving Empirical Risk Minimization for Regression
generate.sampling
Generator for Sampling Distribution Function for Gaussian Kernel
covDataAccess
Differentially Private Covariance Data Access Function
loss.gr.squared.error
Squared error Loss Function Gradient
generate.loss.gr.huber
Generator for Huber Loss Function Gradient
loss.squared.error
Squared Error Loss Function
loss.cross.entropy
Cross Entropy Loss Function
generate.loss.huber
Generator for Huber Loss Function
meanDP
Differentially Private Mean
histogramDP
Differentially Private Histogram
histogramDataAccess
Differentially Private Histogram Data Access Function
loss.gr.cross.entropy
Cross Entropy Loss Function Gradient
mapXy.gr.linear
Linear Map Function Gradient
mapXy.gr.sigmoid
Sigmoid Map Function Gradient
mapXy.sigmoid
Sigmoid Map Function
pooledCovDP
Differentially Private Pooled Covariance
mapXy.linear
Linear Map Function
pooledCovDataAccess
Differentially Private Pooled Covariance Data Access Function
quantileDP
Differentially Private Quantile
quantileDataAccess
Differentially Private Quantile Data Access Function
medianDP
Differentially Private Median
phi.gaussian
Transform Function for Gaussian Kernel Approximation
regularizer.gr.l2
l2 Regularizer Gradient
regularizer.l2
l2 Regularizer
tableDataAccess
Differentially Private Contingency Table Data Access Function
tableDP
Differentially Private Contingency Table
varDP
Differentially Private Variance
varDataAccess
Differentially Private Variance Data Access Function
meanDataAccess
Differentially Private Mean Data Access Function
svmDP
Privacy-preserving Support Vector Machine
pooledVarDP
Differentially Private Pooled Variance
tune_classification_model
Privacy-preserving Hyperparameter Tuning for Binary Classification Models
sdDP
Differentially Private Standard Deviation
tune_linear_regression_model
Privacy-preserving Hyperparameter Tuning for Linear Regression Models
pooledVarDataAccess
Differentially Private Pooled Variance Data Access Function