Learn R Programming

Author or maintainer of the following packages:

acepack

Two nonparametric methods for multiple regression transform selection are provided. The first, Alter...
biglm

Regression for data too large to fit in memory
ConvCalendar

Converts between the Date class and d/m/y for severalcalendars, including Persian, Islamic, ...
dichromat

Collapse red-green or green-blue distinctions to simulatethe effects of different types of c...
distcomp

Implementing algorithms and fitting models when sites (possibly remote) share computation summaries ...
eechidna

Data from the 2013 Australian Federal Election (House of Representatives) and the 2011 Australian Ce...
forestplot

A forest plot that allows for multiple confidence intervals per row, custom fonts for each text elem...
gdata

Various R programming tools for data manipulation, including: - medical unit conversions ('ConvertMe...
gmodels

Various R programming tools for model fitting.
gplots

Various R programming tools for plotting data, including: - calculating and plotting locally smoothe...
gtools

Functions to assist in R programming, including: - assist in developing, updating, and maintaining R...
haplo.ccs

'haplo.ccs' estimates haplotype and covariate relative risks in case-control data by weighted logist...
hextri

Display hexagonally binned scatterplots for multi-class data, using coloured triangles to show class...
mitools

Tools to perform analyses and combine results frommultiple-imputation datasets.
MonetDB.R

Allows to pull data from MonetDB into R. Includes a DBI implementation and a dplyr backend.
MonetDBLite

An in-process version of MonetDB, a relational database focused on analytical tasks. Similar to SQLi...
odfWeave.survey

Provides methods for odfTable() for objects in the survey package.
randaes

The deterministic part of the Fortuna cryptographic pseudorandom number generator, described by Schn...
sandwich

Model-robust standard error estimators for cross-sectional, time series, and longitudinal data.
seqMeta

Computes necessary information to meta analyze region-based tests for rare genetic variants (e.g. SK...
skatMeta

Computes necessary information to meta analyze SKAT statistics in each individual cohort, and then p...
survey

Summary statistics, two-sample tests, rank tests, generalised linear models, cumulative link models,...
survival

Contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and...

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