Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

Found 91 packages in 0.01 seconds

Hmisc — by Frank E Harrell Jr, a year ago

Harrell Miscellaneous

Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, and recoding variables.

raster — by Robert J. Hijmans, a month ago

Geographic Data Analysis and Modeling

Reading, writing, manipulating, analyzing and modeling of gridded spatial data. The package implements basic and high-level functions. Processing of very large files is supported.

pROC — by Xavier Robin, 3 months ago

Display and Analyze ROC Curves

Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.

polspline — by Charles Kooperberg, 6 months ago

Polynomial Spline Routines

Routines for the polynomial spline fitting routines hazard regression, hazard estimation with flexible tails, logspline, lspec, polyclass, and polymars, by C. Kooperberg and co-authors.

colorr — by Charles Crabtree, 2 years ago

Color Palettes for EPL, MLB, NBA, NHL, and NFL Teams

Color palettes for EPL, MLB, NBA, NHL, and NFL teams.

xtable — by David Scott, 3 months ago

Export Tables to LaTeX or HTML

Coerce data to LaTeX and HTML tables.

trust — by Charles J. Geyer, 3 years ago

Trust Region Optimization

Does local optimization using two derivatives and trust regions. Guaranteed to converge to local minimum of objective function.

plotrr — by Charles Crabtree, a year ago

Making Visual Exploratory Data Analysis with Nested Data Easier

Functions for making visual exploratory data analysis with nested data easier.

logspline — by Charles Kooperberg, 6 months ago

Routines for Logspline Density Estimation

Contains routines for logspline density estimation. The function oldlogspline() uses the same algorithm as the logspline package version 1.0.x; i.e. the Kooperberg and Stone (1992) algorithm (with an improved interface). The recommended routine logspline() uses an algorithm from Stone et al (1997) .

GENEAread — by Charles Sweetland, 25 days ago

Package for Reading Binary Files

Functions and analytics for GENEA-compatible accelerometer data into R objects. See topic 'GENEAread' for an introduction to the package.