matrixStats::rowDiffs | Calculates difference for each row (column) in a matrix | |
matrixStats::rowIQRs | Estimates of the interquartile range for each row (column) in a matrix | |
matrixStats::rowMeans2 | Calculates the mean for each row (column) in a matrix | |
matrixStats::rowMedians | Calculates the median for each row (column) in a matrix | |
matrixStats::rowOrderStats | Gets an order statistic for each row (column) in a matrix | |
matrixStats::product | Calculates the product for each row (column) in a matrix | |
matrixStats::rowQuantiles | Estimates quantiles for each row (column) in a matrix | |
matrixStats::rowRanges | Gets the range of values in each row (column) of a matrix | |
matrixStats::rowRanks | Gets the rank of the elements in each row (column) of a matrix | |
matrixStats::rowMads | Standard deviation estimates for each row (column) in a matrix | |
matrixStats::rowSums2 | Calculates the sum for each row (column) in a matrix | |
matrixStats::rowVars | Variance estimates for each row (column) in a matrix | |
matrixStats::rowWeightedMeans | Calculates the weighted means for each row (column) in a matrix | |
matrixStats::rowWeightedMedians | Calculates the weighted medians for each row (column) in a matrix | |
matrixStats::varDiff | Estimation of scale based on sequential-order differences | |
matrixStats::weightedMad | Weighted Median Absolute Deviation (MAD) | |
matrixStats::weightedMean | Weighted Arithmetic Mean | |
matrixStats::weightedMedian | Weighted Median Value | |
matrixStats::weightedVar | Weighted variance and weighted standard deviation | |
quantreg::anova.rq | Anova function for quantile regression fits | |
quantreg::lprq | locally polynomial quantile regression | |
quantreg::nlrq | Function to compute nonlinear quantile regression estimates | |
quantreg::predict.rqss | Predict from fitted nonparametric quantile regression smoothing spline models | |
quantreg::qrisk | Function to compute Choquet portfolio weights | |
quantreg::qss | Additive Nonparametric Terms for rqss Fitting | |
quantreg::rq.fit.hogg | weighted quantile regression fitting | |
quantreg::rqss | Additive Quantile Regression Smoothing | |
quantreg::rqss.object | RQSS Objects and Summarization Thereof | |
quantreg::summary.rqss | Summary of rqss fit | |
MASS::cov.rob | Resistant Estimation of Multivariate Location and Scatter | |
MASS::huber | Huber M-estimator of Location with MAD Scale | |
MASS::hubers | Huber Proposal 2 Robust Estimator of Location and/or Scale | |
MASS::lqs | Resistant Regression | |
MASS::rlm | Robust Fitting of Linear Models | |
MASS::summary.rlm | Summary Method for Robust Linear Models | |
stats::fivenum | Tukey Five-Number Summaries | |
stats::IQR | The Interquartile Range | |
stats::line | Robust Line Fitting | |
stats::mad | Median Absolute Deviation | |
stats::median | Median Value | |
stats::medpolish | Median Polish (Robust Twoway Decomposition) of a Matrix | |
stats::runmed | Running Medians - Robust Scatter Plot Smoothing | |
stats::smooth | Tukey's (Running Median) Smoothing | |
stats::smoothEnds | End Points Smoothing (for Running Medians) |