Repeatability Estimation for Gaussian and Non-Gaussian Data

R Interface to the Pushbullet Messaging Service

An Alternative Advanced Normalization Tools ('ANTs')

Easy to Configure an Isolated 'Python' Environment

Relative Quantification of Gene Expression using Delta Ct
Methods

Quantum Entanglement of Bipartite System

Modified Poisson and Least-Squares Regressions for Binary
Outcome

QSAR Modeling with Multiple Algorithms: MLR, PLS, and Random
Forest

Create Tests According to QTI 2.1 Standard

Quantitative Evaluation of the Native Fertility of Tropical
Soils

Relational Query Generator for Data Manipulation at Scale

Hypothesis Tests for Quantiles and Quantile-Based Measures

Statistical Methods for the Randomized Response Technique

Generate Random Vectors Whose Components Sum Up to One

Robust Regression with Asymmetric Heavy-Tail Noise Distributions

Estimating Replication Rate for Genome-Wide Association Studies
R package RRate version 1.0

Connecting R and 'Raven' Sound Analysis Software

Ridge Regression and Other Kernels for Genomic Selection

Scalable Robust Estimators with High Breakdown Point

Robust Methods for Multiway Data Analysis, Applicable also for
Compositional Data
R package rrcov3way version 0.5-0

Robust Multivariate Methods for High Dimensional Data

Scalable Robust Estimators with High Breakdown Point for
Incomplete Data

Environment for Evaluating Recommender Systems

Visualization for Norwegian Health Quality Registries

Invoke 'Repast Simphony' Simulation Models

An Analyzer of International Large Scale Assessments in
Education

Realized Relatedness Estimation and Simulation

Residual Randomization Inference for Regression Models

Fitting Distributions to Given Data or Known Quantiles
R package rriskDistributions version 2.1.2

Reduced-Rank Multinomial Logistic Regression for Markov Chains

Phylogenetic Ridge Regression Methods for Comparative Studies

Linear Model Evaluation with Randomized Residuals in a
Permutation Procedure
R package RRPP version 2.0.3

Correlation and Regression Analyses for Randomized Response Data