Man pages for privacytoolsproject/PSI-Library
Differentially Private Statistical Releases for Privacy Preservation
| amsweep | Sweep operator |
| binaryTree | Function to evaluate a binary tree |
| bootHist | Bootstrap replication for histogram |
| bootMean | Bootstrap mean function |
| bootstrapReplication | Bootstrap replication for a function |
| censorData | Censoring data |
| censorData1D | Helper function to censor data |
| checkAccuracy | Utility function for checking that accuracy is acceptably... |
| checkAccuracyVals | Check validity of accuracyVals |
| checkDelta | Check delta parameter |
| checkEmpty | Checks if input n has NULL or NA value. Errors if emptyOkay... |
| checkEpsilon | Epsilon Parameter Check |
| checkEpsilonDist | Check validity of epsilonDist |
| checkHistogramNBins | Check histogram bins argument |
| checkHistogramVariableType | Check the histogram variable type entered by the user |
| checkImputationBins | Error check imputation bins for logical, factor, or character... |
| checkImputationRange | Error check imputation range for numeric or integer variables |
| checkLength | Check if input xs has length n |
| checkN | Check validity of n |
| checkN1D | Helper function for helpN |
| checkNumeric | Helper function that generates error message if non-numeric... |
| checkNumeric1D | Check if input n is numeric. Generally errors if n not... |
| checkNValidity | Check validity of n |
| checkRange | Range Parameter Check |
| checkRange1D | One-Dimensional Range Parameter Check |
| checkVariableType | Checking variable types |
| coefficientRelease | Release additional model coefficients from DP covariance... |
| covar | Lower triangle of covariance matrix |
| covarianceFormatRelease | Function to convert unique private covariances into symmetric... |
| covariancePostLinearRegression | Function to perform linear regression using private release... |
| covarianceSensitivity | Function to get the sensitivity of the lower triangle of the... |
| createfields | Create plot fields |
| createJSON | Function to create JSON file defining differentially private... |
| determineBins | Determine Bins |
| determineMechanism | Determine Mechanism |
| dLap | Probability density for Laplace distribution |
| dpCovariance-class | Differentially private covariance matrix |
| dpGLM-class | Differentially private generalized linear models |
| dpHistogram-class | Differentially private histogram |
| dpLogit | Differentially private objective function for Logistic... |
| dpMean-class | Differentially private mean |
| dpMeanPostProcess | Post-processing on differentially private mean, called within... |
| dpMeanRelease | Differentially private mean release |
| dpNoise | Differentially Private Noise Generator |
| dpOLS | Differentially private objective function for linear... |
| dpPoisson | Differentially private objective function for Poisson... |
| dpTree-class | Differentially private binary tree |
| dpUnif | Differentially Private Uniform Draw |
| dpVariance-class | Differentially private variance |
| dpVariancePostProcess | Post-processing on differentially private variance, called... |
| dpVarianceRelease | Differentially private variance release |
| estAbove | Function to estimate the nodes of a tree using noisy parent... |
| estBelow | Function to estimate the nodes of a tree using noisy child... |
| estBottomUp | Function to estimate a noisy binary tree from the terminal... |
| estEfficient | Function to efficiently estimate the nodes of a tree using... |
| estEfficiently | Function to estimate a noisy binary tree efficiently using... |
| estTopDown | Function to estimate a noisy binary tree from the top down |
| extractIndices | Extract regression indices |
| fillfields | Fill in any fields available from release |
| fillMissing | Fill missing values |
| fillMissing1D | Helper function for fillMissing; fills missing values in... |
| fillMissing2D | Helper function for fillMissing. Fills missing values... |
| funHist | Histogram |
| getFuncArgs | Extract function arguments |
| glmGetAccuracy | Accuracy of the differentially private GLM |
| glmGetParameters | Privacy parameters for GLM |
| glmObjectives | Objective functions |
| glmPostSummary | Summary statistics for differentially private GLM via the... |
| histogramCategoricalBins | Utility function to include NA level for categorical types... |
| histogramGetAccuracy | Histogram accuracy |
| histogramGetCI | Histogram confidence intervals |
| histogramGetEpsilon | Histogram epsilon |
| histogramGetJSON | JSON doc for histogram |
| histogramPostHerfindahl | Histogram Herfindahl Index |
| isVector | Checks if input value is an atomic vector (rather than a... |
| laplaceGetAccuracy | Get accuracy for Laplace statistics |
| laplaceGetEpsilon | Get epsilon for Laplace statistics |
| Laplace-Mechanism | Laplace Mechanism |
| linearReg | Linear regression on covariance matrix |
| lowerTriangleSize | Size of the lower triangle of the covariance matrix that will... |
| makeDummies | Function to convert factor variables to binary indicators |
| makeLogical | Logical variable check |
| mapMatrixUnit | Function to map rows of a numeric matrix to the unit ball |
| matrixToList | Helper function that converts a matrix to a list, s.t. each... |
| meanGetCI | Mean confidence interval |
| meanGetJSON | JSON doc for mean |
| meanPostHistogram | Postprocessed histogram for logical variables |
| meanPostMedian | Postprocessed median for logical variables |
| meanPostStandardDeviation | Postprocessed standard deviation for logical variables |
| meanSensitivity | Sensitivity of mean |
| mechanismBootstrap-class | Bootstrap mechanism |
| mechanism-class | Base mechanism class |
| mechanismGaussian-class | Gaussian mechanism |
| mechanismLaplace-class | Laplace mechanism |
| mechanismObjective-class | Objective perturbation mechanism |
| mechanismStability-class | Stability mechanism |
| mpinv | Moore Penrose Inverse Function |
| normalizeHistogram | Constrain the sum of histogram bins to sample size |
| normalizeReleaseAndConvertToDataFrame | Convert normalized histogram release to data frame |
| pLap | Laplace Cumulative Distribution Function |
| postStandDev | Postprocessed standard deviation from variance |
| PUMS5extract10000 | Census California Public Use Micro Sample (PUMS) Dataset |
| qLap | Quantile function for Laplace distribution |
| release2json | Create json file of metadata from list of release objects |
| rLap | Random draw from Laplace distribution |
| scaleRelease | Scale coefficient estimates |
| scaleValues | Scaling helper function for fillMissing |
| setHistogramRange | Set histogram range if bins are entered |
| setNumHistogramBins | Set the number of histogram bins |
| setVariableTypeAsFactor | Set Variable Type as Factor |
| sgn | Sign function |
| stabilityGetAccuracy | Get accuracy for a stable statistic (only used for histogram... |
| stabilityGetEpsilon | Get epsilon for a stable statistic (only used for histogram... |
| Stability-Mechanism | Stability Mechanism |
| stErr | Function to evaluate the standard error of a node estimate... |
| treeGetAccuracy | Accuracy for a differentially private binary tree |
| treeGetParameters | Epsilon for a differentially private binary tree |
| treePostCDF | Function to derive CDF from efficient terminal node counts |
| treePostEfficient | Function to efficiently estimate noisy node counts |
| treePostFormatRelease | Function to truncate negative noisy node counts at zero |
| treePostMean | Function to evaluate the mean using the DP CDF |
| treePostMedian | Function to evaluate the median using the DP CDF |
| treePostPercentiles | Quantile function using the DP CDF |
| trimVector | Function to trim lower and upper regions of a vector of... |
| varianceSensitivity | Sensitivity of sample variance |
| vectorNorm | Function to evaluate the p-norm of vectors in a matrix |
| wAbove | Function to evaluate weights from the noise variance and... |
| wBelow | Function to evaluate weights from the noise variance and... |
| wEfficient | Function to evaluate weights efficiently using the noise... |
