Automatic Replication Tools for Meta-Analysis

To Insert Title, Divider, and Block of Comments

Adaptive and Robust Pipeline for Transfer Learning

Mining Association Rules and Frequent Itemsets

Classification Based on Association Rules

Mining NB-Frequent Itemsets and NB-Precise Rules

R package arulesSequences version 0.2-32

Visualizing Association Rules and Frequent Itemsets

Management and Processing of Autonomous Recording Unit (ARU)
Data

Data Sets for "Applied Survival Analysis Using R""

A Collection of Statistical Tools for Biologists

Export R Objects to Several Markup Languages

Create 'Ascii' Screen Casts from R Scripts

Reads Fixed-Width ASCII Data Files (.txt or .dat) that Have
Accompanying Setup Files (.sps or .sas)
R package asciiSetupReader version 2.5.3

Simulate the Spread of Ascochyta Blight in Chickpea

Simulations for Adaptive Seamless Designs

Interface to the Australian Statistical Geography Standard

Methods for Adaptive Shrinkage, using Empirical Bayes

Password Entry Utilities for R, Git, and SSH

Interface to the Algorithm Selection Benchmark Library

Optimal Convex M-Estimation for Linear Regression via Antitonic
Score Matching
R package asm version 0.2.4

Linkage Map Construction using the MSTmap Algorithm

Functions for the Book "Applied Statistical Modeling for
Ecologists"

Predicting and Classifying Patient Phenotypes with Multi-Omics
Data

Algorithm Portfolio Selection with Machine Learning

Animal Social Network Inference and Permutations for Ecologists

Functions for Estimating Centrographic Statistics

A General Framework for Multivariate Analysis with Optimal
Scaling

Analysis of Symmetry of Parasitic Infections

Spline Regression with Adaptive Knot Selection

Augments 'ASReml-R' in Fitting Mixed Models and Packages
Generally in Exploring Prediction Differences
R package asremlPlus version 4.4.55

Applied Singular Spectrum Analysis (ASSA)

Verbose Assertions for Tabular Data (Data.frames and
Data.tables)

Visualisation and Verification of Health Economic Decision
Models

Simple Assertions for Beautiful and Customisable Error Messages