Stats4

Functions and datasets to support Venables and Ripley, "Modern Applied Statistics with S" (4th edition, 2002).

A set of tools that solves a common set of problems: you need to break a big problem down into manageable pieces, operate on each piece and then put all the pieces back together. For example, you might want to fit a model to each spatial location or ...

Contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models, and parametric accelerated failure time models.

A fast JSON parser and generator optimized for statistical data and the web. Started out as a fork of 'RJSONIO', but has been completely rewritten in recent versions.

'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics ...

Flexibly restructure and aggregate data using just two functions: melt and 'dcast' (or 'acast').

Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g.

An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors.

Graphical scales map data to aesthetics, and provide methods for automatically determining breaks and labels for axes and legends.

Functions and datasets for bootstrapping from the book "Bootstrap Methods and Their Application" by A. C.