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

Found 124 packages in 0.03 seconds

openeo — by Florian Lahn, a month ago

Client Interface for 'openEO' Servers

Access data and processing functionalities of 'openEO' compliant back-ends in R.

sound — by Stefan Langenberg, 4 months ago

A Sound Interface for R

Basic functions for dealing with wav files and sound samples.

IPV — by Nils Petras, a year ago

Item Pool Visualization

Generate plots based on the Item Pool Visualization concept for latent constructs. Item Pool Visualizations are used to display the conceptual structure of a set of items (self-report or psychometric). Dantlgraber, Stieger, & Reips (2019) .

TraMineRextras — by Gilbert Ritschard, 3 months ago

TraMineR Extension

Collection of ancillary functions and utilities to be used in conjunction with the 'TraMineR' package for sequence data exploration. Includes, among others, specific functions such as state survival plots, position-wise group-typical states, dynamic sequence indicators, and dissimilarities between event sequences. Also includes contributions by non-members of the TraMineR team such as the relative frequency plot and methods for polyadic data.

robfilter — by Roland Fried, 4 months ago

Robust Time Series Filters

Implementations for several robust procedures that allow for (online) extraction of the signal of univariate or multivariate time series by applying robust regression techniques to a moving time window are provided. Included are univariate filtering procedures based on repeated-median regression as well as hybrid and trimmed filters derived from it; see Schettlinger et al. (2006) . The adaptive online repeated median by Schettlinger et al. (2010) and the slope comparing adaptive repeated median by Borowski and Fried (2013) choose the width of the moving time window adaptively. Multivariate versions are also provided; see Borowski et al. (2009) for a multivariate online adaptive repeated median and Borowski (2012) for a multivariate slope comparing adaptive repeated median. Furthermore, a repeated-median based filter with automatic outlier replacement and shift detection is provided; see Fried (2004) .

ctmcd — by Marius Pfeuffer, 2 months ago

Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data

Estimation of Markov generator matrices from discrete-time observations. The implemented approaches comprise diagonal and weighted adjustment of matrix logarithm based candidate solutions as in Israel (2001) as well as a quasi-optimization approach. Moreover, the expectation-maximization algorithm and the Gibbs sampling approach of Bladt and Sorensen (2005) are included.

spectre — by Craig Simpkins, 3 years ago

Predict Regional Community Composition

Predict regional community composition at a fine spatial resolution using only sparse biological and environmental data. The package is based on the DynamicFOAM algorithm described in Mokany et al. (2011) .

FSK2R — by Alberto Garre, 2 years ago

An Interface Between the 'FSKX' Standard and 'R'

Functions for importing, creating, editing and exporting 'FSK' files < https://foodrisklabs.bfr.bund.de/fskx-food-safety-knowledge-exchange-format/> using the 'R' programming environment. Furthermore, it enables users to run simulations contained in the 'FSK' files and visualize the results.

ecolottery — by François Munoz, 7 years ago

Coalescent-Based Simulation of Ecological Communities

Coalescent-Based Simulation of Ecological Communities as proposed by Munoz et al. (2017) . The package includes a tool for estimating parameters of community assembly by using Approximate Bayesian Computation.

surveysd — by Johannes Gussenbauer, a year ago

Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs

Calculate point estimates and their standard errors in complex household surveys using bootstrap replicates. Bootstrapping considers survey design with a rotating panel. A comprehensive description of the methodology can be found under < https://statistikat.github.io/surveysd/articles/methodology.html>.