This package provides a collection of dimensionality reduction techniques from R packages and provides a common interface for calling the methods.

This package provides data sets and functions for Klein and Moeschberger (1997), "Survival Analysis, Techniques for Censored and Truncated Data", Springer.

This is a pure R implementation of the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) with optional restarts (IPOP-CMA-ES).

This package computes cell fate bias for multi-lineage single-cell data. It also provides visualization tools for analyzing these biases.

This package infers directional Conservative causal core (gene) networks (C3NET). This is a version of the algorithm C3NET with directional network.

This package extends the out of memory vectors of ff with statistical functions and other utilities to ease their usage.

DeMixT is a software package that performs deconvolution on transcriptome data from a mixture of two or three components.

Fingerprint generation of flow cytometry data, used to facilitate the application of machine learning and datamining tools for flow cytometry.

The package contains functions for inferece of target gene regulation by miRNA, based on only target gene expression profile.

This package implements an S3 class based on data.table to store and process efficiently ethomics (high-throughput behavioural) data.

Miscellaneous R functions, including functions related to graphics (mostly for base graphics), permutation tests, running mean/median, and general utilities.

Calculates a range of UK freshwater invertebrate biotic indices including BMWP, Whalley, WHPT, Habitat-specific BMWP, AWIC, LIFE and PSI.

Flexible tools to fit, tune and obtain absolute risk predictions from regularized cause-specific cox models with elastic-net penalty.

Allows printing of character strings as messages/warnings/etc. with ASCII animals, including cats, cows, frogs, chickens, ghosts, and more.

This package provides tools to sort DICOM-format medical image files, and convert them to NIfTI-1 format.

Phase I/II adaptive dose-finding design for combination studies where toxicity rates are supposed to increase with both agents.

This package provides classes and methods for implementing aquatic ecosystem models, for running these models, and for visualizing their results.

This package performs some enhanced variable selection algorithms based on the least absolute shrinkage and selection operator for regression model.

Colour palettes inspired by Studio Ghibli <https://en.wikipedia.org/wiki/Studio_Ghibli> films, ported to R for your enjoyment.

This package provides tools for importing, merging, and analysing data from international assessment studies (TIMSS, PIRLS, PISA, ICILS, and PIAAC).

Currently using the proportional hazards (PH) model. More methods under other semiparametric regression models will be included in later versions.

Helpful functions for using mesh code (80km to 100m) data in Japan. Visualize mesh code using ggplot2 and leaflet', etc.

R interface for working with nanometer scale secondary ion mass spectrometry (NanoSIMS) data exported from Look at NanoSIMS.

Compute the average of a sequence of random vectors in a moving expanding window using a fixed amount of memory.