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... |
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