An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.

Hierarchical Dirichlet Process Generalized Linear Models

R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the error. Author: Carlos Omar Pardo Gomez.

Robust estimations from distribution structures: Central moments.

An R package for obtaining nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers or splines

Development version of the CptNonPar R package

Codes for "A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging" Copyright (C) 2018 Zhou Lan (zlan@ncsu.edu) - All Rights Reserved

R Package providing functions to calculate pseudo-ranks and pseudo-rank based nonparametric test statistics.

An R package for selecting variables in regression models

Source code for the CopRe R package

Jackstrap created by Sousa e Stosic (2005). The package detects outliers in efficiency measurement with big samples.

Nonparametric Bootstrap Test with Pooled Resampling

An R package for running permutation tests and constructing associated confidence interals.

analyse student exam performance using nonparametric statistical methods

Continuation to Data Analysis using more mathematical approach.

R package to implement 2D wavelet decompositions for irregularly spaced and irregularly shaped data

Trimmed Spearman-Karber Method

The order-md algorithm is an adjustment of the order-m algorithm for estimating efficiency scores of decision making units (firms)

Implementation of algorithms and reproducing the results of "set estimation and nonparametric detection".

blopmatch: Matching Estimator based on a Bilevel Optimization Problem