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

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horseshoe — by Stephanie van der Pas, 2 years ago

Implementation of the Horseshoe Prior

Contains functions for applying the horseshoe prior to high- dimensional linear regression, yielding the posterior mean and credible intervals, amongst other things. The key parameter tau can be equipped with a prior or estimated via maximum marginal likelihood estimation (MMLE). The main function, horseshoe, is for linear regression. In addition, there are functions specifically for the sparse normal means problem, allowing for faster computation of for example the posterior mean and posterior variance. Finally, there is a function available to perform variable selection, using either a form of thresholding, or credible intervals.

scdensity — by Mark A. Wolters, a year ago

Shape-Constrained Kernel Density Estimation

Implements methods for obtaining kernel density estimates subject to a variety of shape constraints (unimodality, bimodality, symmetry, tail monotonicity, bounds, and constraints on the number of inflection points). Enforcing constraints can eliminate unwanted waves or kinks in the estimate, which improves its subjective appearance and can also improve statistical performance. The main function scdensity() is very similar to the density() function in 'stats', allowing shape-restricted estimates to be obtained with little effort. The methods implemented in this package are described in Wolters and Braun (2017) , Wolters (2012) , and Hall and Huang (2002) < http://www3.stat.sinica.edu.tw/statistica/j12n4/j12n41/j12n41.htm>. See the scdensity() help for for full citations.

ldat — by Jan van der Laan, 8 months ago

Large Data Sets

Tools for working with vectors and data sets that are too large to keep in memory. Extends the basic functionality provided in the 'lvec' package. Provides basis statistical functionality of 'lvec' objects, such as arithmetic operations and calculating means and sums. Also implements 'data.frame'-like objects storing its data in 'lvec' objects.

simcausal — by Oleg Sofrygin, 17 days ago

Simulating Longitudinal Data with Causal Inference Applications

A flexible tool for simulating complex longitudinal data using structural equations, with emphasis on problems in causal inference. Specify interventions and simulate from intervened data generating distributions. Define and evaluate treatment-specific means, the average treatment effects and coefficients from working marginal structural models. User interface designed to facilitate the conduct of transparent and reproducible simulation studies, and allows concise expression of complex functional dependencies for a large number of time-varying nodes. See the package vignette for more information, documentation and examples.

ltmle — by Joshua Schwab, 5 months ago

Longitudinal Targeted Maximum Likelihood Estimation

Targeted Maximum Likelihood Estimation (TMLE) of treatment/censoring specific mean outcome or marginal structural model for point-treatment and longitudinal data.

ryouready — by Mark Heckmann, 3 years ago

Companion to the Forthcoming Book - R you Ready?

Package contains some data and functions that are used in my forthcoming "R you ready?" book.

dendrometeR — by Ernst van der Maaten, 3 years ago

Analyzing Dendrometer Data

Various functions to import, verify, process and plot high-resolution dendrometer using daily and stem-cycle approaches.

nnls — by Katharine Mullen, 7 years ago

The Lawson-Hanson algorithm for non-negative least squares (NNLS)

An R interface to the Lawson-Hanson implementation of an algorithm for non-negative least squares (NNLS). Also allows the combination of non-negative and non-positive constraints.

reldist — by Mark S. Handcock, 2 years ago

Relative Distribution Methods

Tools for the comparison of distributions. This includes nonparametric estimation of the relative distribution PDF and CDF and numerical summaries as described in "Relative Distribution Methods in the Social Sciences" by Mark S. Handcock and Martina Morris, Springer-Verlag, 1999, Springer-Verlag, ISBN 0387987789.

gridsampler — by Mark Heckmann, 2 years ago

A Simulation Tool to Determine the Required Sample Size for Repertory Grid Studies

Simulation tool to facilitate determination of required sample size to achieve category saturation for studies using multiple repertory grids in conjunction with content analysis.