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

Found 32 packages in 0.01 seconds

latex2exp — by Stefano Meschiari, 4 years ago

Use LaTeX Expressions in Plots

Parses and converts LaTeX math formulas to R's plotmath expressions, used to enter mathematical formulas and symbols to be rendered as text, axis labels, etc. throughout R's plotting system.

sde — by Stefano Maria Iacus, 4 years ago

Simulation and Inference for Stochastic Differential Equations

Companion package to the book Simulation and Inference for Stochastic Differential Equations With R Examples, ISBN 978-0-387-75838-1, Springer, NY.

cem — by Stefano M. Iacus, 2 years ago

Coarsened Exact Matching

Implementation of the Coarsened Exact Matching algorithm.

nopp — by Stefano M. Iacus, 2 years ago

Nash Optimal Party Positions

Estimation of party/candidate ideological positions that correspond to a Nash equilibrium along a one-dimensional space.

tidymv — by Stefano Coretta, 4 months ago

Tidy Model Visualisation for Generalised Additive Models

Provides functions for visualising generalised additive models and getting predicted values using tidy tools from the 'tidyverse' packages.

Rcmdr — by John Fox, 2 months ago

R Commander

A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.

orcutt — by Stefano Spada, a year ago

Estimate Procedure in Case of First Order Autocorrelation

Solve first order autocorrelation problems using an iterative method. This procedure estimates both autocorrelation and beta coefficients recursively until we reach the convergence (8th decimal as default). The residuals are computed after estimating Beta using EGLS approach and Rho is estimated using the previous residuals.

labstatR — by Stefano M.Iacus, 2 years ago

Libreria Del Laboratorio Di Statistica Con R

Insieme di funzioni di supporto al volume "Laboratorio di Statistica con R", Iacus-Masarotto, MacGraw-Hill Italia, 2006. This package contains sets of functions defined in "Laboratorio di Statistica con R", Iacus-Masarotto, MacGraw-Hill Italia, 2006. Function names and docs are in italian as well.

yuima — by Stefano M. Iacus, a year ago

The YUIMA Project Package for SDEs

Simulation and Inference for SDEs and Other Stochastic Processes.

tipom — by Stefano Costa, 6 years ago

Automated measure-based classification for flint tools

TIPOM is based on a methodology that was developed in the 1960s by Bernardino Bagolini. The basic idea is to use the three simple dimensions of length, width and thickness of each lithic artefact to classify them in discrete groups and infer their function.