Robust Trimmed Clustering
Calculate Cluster-Robust p-Values and Confidence Intervals
Robust Linear Regression with Compositional Data as Covariates
Robust Covariance Estimation via Nearest Neighbor Cleaning
Fit Robustly Proportional Hazards Regression Model
Doubly Robust Generalized Estimating Equations
Fast, Robust, and Outlier Resistant Hierarchical Clustering
Support Functions and Datasets for Venables and Ripley's MASS
Geometric Median, k-Medians Clustering and Robust Median PCA
Robust Estimation in the Presence of Cellwise and Casewise Contaminati...
Multivariate Outlier Detection Based on Robust Methods
Robust Sparse PCA using the ROSPCA Algorithm
Linear Quantile Mixed Models
Median-Based Linear Models
Truncated Maximum Likelihood Fit and Robust Accelerated Failure Time R...
'eXtra' / 'eXperimental' Functionality for Robust Statistics
Robust Model-Based Clustering
Robust Variance Meta-Regression
A Collection of Robust Statistical Methods
Infinitesimally Robust Estimators for Preprocessing -Omics Data
Optimally Robust Influence Curves and Estimators for Location and Scal...
Implementation of Random Variables
Robust Linear Mixed Effects Models
Robust Covariance Matrix Estimators
Robust Statistics: Theory and Methods
Robust Statistical Methods
Robust Correlations
Robust Periodogram and Periodicity Detection Methods
Robust Estimation and Inference in Sample Selection Models
Robust Mixture Discriminant Analysis
Robust Regression Functions
Rank-Based Estimation and Prediction in Random Effects Nested Models
Robust Sparse K-Means
RobustPCA: Decompose a Matrix into Low-Rank and Sparse Components
Scale Mixture of Skew-Normal Linear Mixed Models
Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Correc...
Robust Estimation in Very Small Samples
Robust Meta-Analysis and Meta-Regression
Robust Time Series Filters
Robust PCA by Projection Pursuit
Port of the S+ "Robust Library"
Robust Multivariate Methods for High Dimensional Data
Scalable Robust Estimators with High Breakdown Point for Incomplete Da...
Scalable Robust Estimators with High Breakdown Point
Basic Robust Statistics
Robust Survey Statistics Estimation
Generalised Joint Regression Modelling
Optimally Robust Estimation
Object Oriented Implementation of Distributions
Robust Asymptotic Statistics
Quantile Regression
"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.