This is a package for the assessment and comparison of the performance of risk prediction (survival) models.

The goal of bedtorch is to provide a fast BED file manipulation tool suite native in R.

The devtools package is a collection of package development tools to simplify the devolpment of R packages.

Guile-RSVG wraps the RSVG library for Guile, allowing you to render SVG images onto Cairo surfaces.

This package provides a basic random number generation library, including the ability to split random number generators.

Manual translation from C to Common Lisp of some random number generation functions from the GSL library.

nio provides cross-platform asynchronous I/O primitives in Ruby for scalable network clients and servers.

Computationally efficient tool for performing variable selection and obtaining robust estimates, which implements robust variable selection procedure proposed by Wang, X., Jiang, Y., Wang, S., Zhang, H. (2013) <doi:10.1080/01621459.2013.766613>. Users can enjoy the near optimal, consistent, and oracle properties of the procedures.

This package provides tools to read various file types into one list of data structures, usually, but not limited to, data frames. Excel files are read sheet-wise, i.e., all or a selection of sheets can be read. Field delimiters and decimal separators are determined automatically.

Parameters estimation and linear regression models for Reliability distributions families reviewed by Almalki & Nadarajah (2014) <doi:10.1016/j.ress.2013.11.010> using Generalized Additive Models for Location, Scale and Shape, aka GAMLSS by Rigby & Stasinopoulos (2005) <doi:10.1111/j.1467-9876.2005.00510.x>.

This package provides a simple and efficient way to read data from Paradox database files (.db) directly into R as modern tibble data frames. It uses the underlying pxlib C library, to handle the low-level file format details and provides a clean, user-friendly R interface.

External jars required for package RMOA. RMOA is a framework to build data stream models on top of MOA (Massive Online Analysis - <https://moa.cms.waikato.ac.nz/>). The jar files are put in this R package, the modelling logic can be found in the RMOA package.

RcppDist provides a header-only C++ library with functions for additional statistical distributions that can be called from C++ when writing code using Rcpp or RcppArmadillo. Functions are available that return a NumericVector as well as doubles, and for multivariate or matrix distributions, Armadillo vectors and matrices.

This package provides a wrapper for the Intro.js library. This package makes it easy to include step-by-step introductions, and clickable hints in a Shiny application. It supports both static introductions in the UI, and programmatic introductions from the server-side.

This package contains an extension library for accessing Redis database servers using the hiredis C library API.

This package provides a gRPC over HTTP/2 implementation focused on high performance, interoperability, and flexibility.

Gives you the ability to use arbitrary Docker images (including custom ones) to process Rmarkdown code chunks.

Correlation chart of two set (x and y) of data. Using Quantiles. Visualize the effect of factor.

Make smoothed stacked area charts in ggplot2'. Stream plots are useful to show magnitude trends over time.

This package performs multiple hot-deck imputation of categorical and continuous variables in a data frame.

Improved methods based on inverse probability weighting and outcome regression for causal inference and missing data problems.

An R package for inferring cell-type specific gene regulatory network from single-cell RNA-seq data.

Easily create functions to map between different sets of values, such as for re-labeling categorical variables.

Supplementary materials and datasets for the book "Modern Psychometrics With R" (Mair, 2018, Springer useR! series).