The APT Package Management System provides Debian and Debian-derived Linux systems with a powerful system to resolve package dependencies. This package offers access directly from R. This can only work on a system with a suitable libapt-pkg-dev installation so functionality is curtailed if such a library is not found.
This package provides a replication of key functionality from dplyr and the wider tidyverse using only base.
This package provides basic infrastructure for linear test statistics and permutation inference in the framework of Strasser and Weber (1999).
This package provides datasets to accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage.
Monitor a hardware random number generator, and supply entropy from that to the system kernel's /dev/random machinery.
Yell is a comprehensive logging replacement for Ruby. It defines multiple adapters, various log level combinations and message formatting options.
CBOR is a library for the CBOR format, based on Sadayuki Furuhashi's MessagePack library.
Base annotation databases for fly, intended ONLY to be used by AnnotationDbi to produce regular annotation packages.
This package provides a set of tools for statistical relative protein significance analysis in DDA, SRM and DIA experiments.
Base annotation databases for pig, intended ONLY to be used by AnnotationDbi to produce regular annotation packages.
Multi-category angle-based large-margin classifiers. See Zhang and Liu (2014) <doi:10.1093/biomet/asu017> for details.
Bayesian adaptive trial algorithm implements multiple-stage interim analysis. Package includes data generating function, and Bayesian hypothesis testing function.
The function \codebarcode() produces a histogram-like plot of a distribution that shows granularity in the data.
Data sets and functions, for the display of gene expression array (microarray) data, and for demonstrations with such data.
Interactively train neural networks on Numerai, <https://numer.ai/>, data. Generate tournament predictions and write them to a CSV.
Developed to Solve the Multi-Criteria Decision Making Problems with Decision Making Trial and Evaluation Laboratory Technique in R.
This package performs analysis of regression in simple designs with quantitative treatments, including mixed models and non linear models.
Import SPSS data, handle and change SPSS meta data, store and access large hierarchical data in SQLite data bases.
Fast censored linear regression for the accelerated failure time (AFT) model of Huang (2013) <doi:10.1111/sjos.12031>.
Mark your interesting genes on plot and support more parameters to handle your own gene set enrichment analysis plot.
Read and process isotopocule data from an Orbitrap Isotope Solutions mass spectrometer. Citation: Kantnerova et al. (Nature Protocols, 2024).
Producing kernel estimates of the unconditional and conditional hazard function for right-censored data including methods of bandwidth selection.
Efficient implementation of Friedman's boosting algorithm with l2-loss function and coordinate direction (design matrix columns) basis functions.
Generic functions to produce area/bar/box/line plots of data following IAMC (Integrated Assessment Modeling Consortium) submission format.