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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.
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.
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.
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.
Color Palettes for EPL, MLB, NBA, NHL, and NFL Teams
Color palettes for EPL, MLB, NBA, NHL, and NFL teams.
Export Tables to LaTeX or HTML
Coerce data to LaTeX and HTML tables.
Trust Region Optimization
Does local optimization using two derivatives and trust regions. Guaranteed to converge to local minimum of objective function.
Making Visual Exploratory Data Analysis with Nested Data Easier
Functions for making visual exploratory data analysis with nested data easier.
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)
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.