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

Found 516 packages in 0.14 seconds

analogue — by Gavin L. Simpson, 8 months ago

Analogue and Weighted Averaging Methods for Palaeoecology

Fits Modern Analogue Technique and Weighted Averaging transfer function models for prediction of environmental data from species data, and related methods used in palaeoecology.

akima — by Albrecht Gebhardt, 8 months ago

Interpolation of Irregularly and Regularly Spaced Data

Several cubic spline interpolation methods of H. Akima for irregular and regular gridded data are available through this package, both for the bivariate case (irregular data: ACM 761, regular data: ACM 760) and univariate case (ACM 433 and ACM 697). Linear interpolation of irregular gridded data is also covered by reusing D. J. Renkas triangulation code which is part of Akimas Fortran code. A bilinear interpolator for regular grids was also added for comparison with the bicubic interpolator on regular grids. Please note that most of the functions are now also covered in package interp, which is a re-implementation from scratch under a free license.

lasso2 — by Berwin Turlach, 4 years ago

L1 Constrained Estimation aka `lasso'

Routines and documentation for solving regression problems while imposing an L1 constraint on the estimates, based on the algorithm of Osborne et al. (1998).

sptm — by Youyi Fong, 6 years ago

SemiParametric Transformation Model Methods

Implements semiparametric transformation model two-phase estimation using calibration weights. The method in Fong and Gilbert (2015) Calibration weighted estimation of semiparametric transformation models for two-phase sampling. Statistics in Medicine .

plgraphics — by Werner A. Stahel, 5 months ago

User Oriented Plotting Functions

Plots with high flexibility and easy handling, including informative regression diagnostics for many models.

norMmix — by Nicolas Trutmann, a year ago

Direct MLE for Multivariate Normal Mixture Distributions

Multivariate Normal (i.e. Gaussian) Mixture Models (S3) Classes. Fitting models to data using 'MLE' (maximum likelihood estimation) for multivariate normal mixtures via smart parametrization using the 'LDL' (Cholesky) decomposition, see McLachlan and Peel (2000, ISBN:9780471006268), Celeux and Govaert (1995) .

Biodem — by Federico Calboli, 5 years ago

Biodemography Functions

The Biodem package provides a number of functions for Biodemographic analysis.

copulaData — by Marius Hofert, 2 years ago

Data Sets for Copula Modeling

Data sets used for copula modeling in addition to those in the R package 'copula'. These include a random subsample from the US National Education Longitudinal Study (NELS) of 1988 and nursing home data from Wisconsin.

RankingProject — by Jerzy Wieczorek, 4 years ago

The Ranking Project: Visualizations for Comparing Populations

Functions to generate plots and tables for comparing independently- sampled populations. Companion package to "A Primer on Visualizations for Comparing Populations, Including the Issue of Overlapping Confidence Intervals" by Wright, Klein, and Wieczorek (2019) and "A Joint Confidence Region for an Overall Ranking of Populations" by Klein, Wright, and Wieczorek (2020) .

flint — by Mikael Jagan, 2 months ago

Fast Library for Number Theory

An R interface to 'FLINT' < https://flintlib.org/>, a C library for number theory. 'FLINT' extends GNU 'MPFR' < https://www.mpfr.org/> and GNU 'MP' < https://gmplib.org/> with support for operations on standard rings (the integers, the integers modulo n, finite fields, the rational, p-adic, real, and complex numbers) as well as matrices and polynomials over rings. 'FLINT' implements midpoint-radius interval arithmetic, also known as ball arithmetic, in the real and complex numbers, enabling computation in arbitrary precision with rigorous propagation of rounding and other errors; see Johansson (2017) . Finally, 'FLINT' provides ball arithmetic implementations of many special mathematical functions, with high coverage of reference works such as the NIST Digital Library of Mathematical Functions < https://dlmf.nist.gov/>. The R interface defines S4 classes, generic functions, and methods for representation and basic operations as well as plain R functions mirroring and vectorizing entry points in the C library.