Spherical Trigonometry

Spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations.

Harrell Miscellaneous

Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, simulation, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to Typst, LaTeX, and html code, recoding variables, caching, simplified parallel computing, encrypting and decrypting data using a safe workflow, general moving window statistical estimation, and assistance in interpreting principal component analysis.

Trust Region Optimization

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

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) .

Geographic Data Analysis and Modeling

Reading, writing, manipulating, analyzing and modeling of spatial data. This package has been superseded by the "terra" package < https://CRAN.R-project.org/package=terra>.

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.

Making Visual Exploratory Data Analysis with Nested Data Easier

Provides tools for visual exploratory data analysis with nested data. Includes functions for creating bivariate plots, dot plots, histograms, and violin plots for each group or unit in nested data. Methods are described in Crabtree and Nelson (2017) "Plotrr: Functions for making visual exploratory data analysis with nested data easier" .

Manage Massive Matrices with Shared Memory and Memory-Mapped Files

Create, store, access, and manipulate massive matrices. Matrices are allocated to shared memory and may use memory-mapped files. Packages 'biganalytics', 'bigtabulate', 'synchronicity', and 'bigalgebra' provide advanced functionality.

Export Tables to LaTeX or HTML

Coerce data to LaTeX and HTML tables.

Color Palettes for Soccer, MLB, NBA, WNBA, NHL, and NFL Teams

Current-season color palettes for soccer clubs in the English Premier League ('EPL'), 'LaLiga', 'Serie A', the 'Bundesliga', 'Ligue 1' and Major League Soccer ('MLS'), and for Major League Baseball ('MLB'), National Basketball Association ('NBA'), Women's National Basketball Association ('WNBA'), National Hockey League ('NHL') and National Football League ('NFL') teams. Palettes are returned as named character vectors of hex colors, and as 'ggplot2' colour and fill scales. The palettes shipped in earlier versions of the package remain available so that older figures stay reproducible.