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

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.

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

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

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.

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

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

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.

Access the New Zealand Freshwater Fish Database from R and a few functions to clean the data once in R.

This package contains data files to accompany Smithson & Merkle (2013), Generalized Linear Models for Categorical and Continuous Limited Dependent Variables.

Helps systematize and ease the process of building unit tests with the testthat package by providing tools for generating expectations.

This package provides the CppAD C++ header library for automatic differentiation, for use by R packages via LinkingTo. Headers are vendored with CRAN-safe defaults and R-safe error handling that does not call std::cerr or std::exit. The two final components of the version number are the CppAD release number.

This package implements methods described by the paper Robins and Tsiatis (1991) <DOI:10.1080/03610929108830654>. These use g-estimation to estimate the causal effect of a treatment in a two-armed randomised control trial where non-compliance exists and is measured, under an assumption of an accelerated failure time model and no unmeasured confounders.