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.

Calculate the Bayesian posterior/predictive probability and determine the sample size and stopping boundaries for single-arm Phase II design.

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

This package provides Apache Spark style window aggregation for R dataframes and remote dbplyr tables via mutate in dplyr flavour.

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

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.

Simultaneous identification of copy number states and genotype calls for regions of either copy number variations or copy number aberrations.

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

This package provides an interface to implementations of the GatingML2.0 standard to exchange gated cytometry data with other software platforms.

This package contains data used by pagoda2. The data within this package are the 3000 bone marrow cells used for vignettes.

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

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

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

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

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 implements Bayesian inference for the conditional genetic stock identification model. It allows inference of mixed fisheries and also simulation of mixtures to predict accuracy. A full description of the underlying methods is available in a recently published article in the Canadian Journal of Fisheries and Aquatic Sciences: <doi:10.1139/cjfas-2018-0016>.

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.

This package provides functionality to group lines that form naturally continuous lines in a spatial network. The algorithm implemented is based on the Continuity in Street Networks (COINS) method from Tripathy et al. (2021) <doi:10.1177/2399808320967680>, which identifies continuous "strokes" in the network as the line strings that maximize the angles between consecutive segments.