R-universe search: exports:Mode

Showing 22 of total 22 results (show query)

andrisignorell

DescTools:Tools for Descriptive Statistics

A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'BigCamelCase' style was consequently applied to functions borrowed from contributed R packages as well.

Maintained by Andri Signorell. Last updated 2 hours ago.

fortran cpp

86 stars 16.73 score 7.7k scripts 101 dependents

mjskay

ggdist:Visualizations of Distributions and Uncertainty

Provides primitives for visualizing distributions using 'ggplot2' that are particularly tuned for visualizing uncertainty in either a frequentist or Bayesian mode. Both analytical distributions (such as frequentist confidence distributions or Bayesian priors) and distributions represented as samples (such as bootstrap distributions or Bayesian posterior samples) are easily visualized. Visualization primitives include but are not limited to: points with multiple uncertainty intervals, eye plots (Spiegelhalter D., 1999) <https://ideas.repec.org/a/bla/jorssa/v162y1999i1p45-58.html>, density plots, gradient plots, dot plots (Wilkinson L., 1999) <doi:10.1080/00031305.1999.10474474>, quantile dot plots (Kay M., Kola T., Hullman J., Munson S., 2016) <doi:10.1145/2858036.2858558>, complementary cumulative distribution function barplots (Fernandes M., Walls L., Munson S., Hullman J., Kay M., 2018) <doi:10.1145/3173574.3173718>, and fit curves with multiple uncertainty ribbons.

Maintained by Matthew Kay. Last updated 4 months ago.

ggplot2 uncertainty uncertainty-visualization visualization cpp

859 stars 14.95 score 3.1k scripts 62 dependents

mjskay

tidybayes:Tidy Data and 'Geoms' for Bayesian Models

Compose data for and extract, manipulate, and visualize posterior draws from Bayesian models ('JAGS', 'Stan', 'rstanarm', 'brms', 'MCMCglmm', 'coda', ...) in a tidy data format. Functions are provided to help extract tidy data frames of draws from Bayesian models and that generate point summaries and intervals in a tidy format. In addition, 'ggplot2' 'geoms' and 'stats' are provided for common visualization primitives like points with multiple uncertainty intervals, eye plots (intervals plus densities), and fit curves with multiple, arbitrary uncertainty bands.

Maintained by Matthew Kay. Last updated 6 months ago.

bayesian-data-analysis brms ggplot2 jags stan tidy-data visualization

733 stars 14.72 score 7.3k scripts 20 dependents

laplacesdemonr

LaplacesDemon:Complete Environment for Bayesian Inference

Provides a complete environment for Bayesian inference using a variety of different samplers (see ?LaplacesDemon for an overview).

Maintained by Henrik Singmann. Last updated 1 years ago.

93 stars 13.45 score 1.8k scripts 60 dependents

hwborchers

pracma:Practical Numerical Math Functions

Provides a large number of functions from numerical analysis and linear algebra, numerical optimization, differential equations, time series, plus some well-known special mathematical functions. Uses 'MATLAB' function names where appropriate to simplify porting.

Maintained by Hans W. Borchers. Last updated 1 years ago.

29 stars 12.34 score 6.6k scripts 931 dependents

hughparsonage

hutils:Miscellaneous R Functions and Aliases

Provides utility functions for, and drawing on, the 'data.table' package. The package also collates useful miscellaneous functions extending base R not available elsewhere. The name is a portmanteau of 'utils' and the author.

Maintained by Hugh Parsonage. Last updated 2 years ago.

12 stars 7.76 score 219 scripts 8 dependents

acguidoum

Sim.DiffProc:Simulation of Diffusion Processes

It provides users with a wide range of tools to simulate, estimate, analyze, and visualize the dynamics of stochastic differential systems in both forms Ito and Stratonovich. Statistical analysis with parallel Monte Carlo and moment equations methods of SDEs <doi:10.18637/jss.v096.i02>. Enabled many searchers in different domains to use these equations to modeling practical problems in financial and actuarial modeling and other areas of application, e.g., modeling and simulate of first passage time problem in shallow water using the attractive center (Boukhetala K, 1996) ISBN:1-56252-342-2.

Maintained by Arsalane Chouaib Guidoum. Last updated 1 years ago.

dynamic-system moment-equations monte-carlo-simulation parallel-computing stochastic-calculus stochastic-differential-equation transition-density

13 stars 7.69 score 86 scripts 4 dependents

kenaho1

asbio:A Collection of Statistical Tools for Biologists

Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R. CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.

Maintained by Ken Aho. Last updated 2 months ago.

5 stars 7.32 score 310 scripts 3 dependents

ibecav

CGPfunctions:Powell Miscellaneous Functions for Teaching and Learning Statistics

Miscellaneous functions useful for teaching statistics as well as actually practicing the art. They typically are not new methods but rather wrappers around either base R or other packages.

Maintained by Chuck Powell. Last updated 4 years ago.

27 stars 7.28 score 122 scripts

yufree

enviGCMS:GC/LC-MS Data Analysis for Environmental Science

Gas/Liquid Chromatography-Mass Spectrometer(GC/LC-MS) Data Analysis for Environmental Science. This package covered topics such molecular isotope ratio, matrix effects and Short-Chain Chlorinated Paraffins analysis etc. in environmental analysis.

Maintained by Miao YU. Last updated 8 days ago.

environment mass-spectrometry metabolomics

17 stars 6.66 score 30 scripts 1 dependents

usdaforestservice

FIESTAutils:Utility Functions for Forest Inventory Estimation and Analysis

A set of tools for data wrangling, spatial data analysis, statistical modeling (including direct, model-assisted, photo-based, and small area tools), and USDA Forest Service data base tools. These tools are aimed to help Foresters, Analysts, and Scientists extract and perform analyses on USDA Forest Service data.

Maintained by Grayson White. Last updated 3 days ago.

cpp

9 stars 6.40 score 1 dependents

stephenturner

Tmisc:Turner Miscellaneous

Miscellaneous utility functions for data manipulation, data tidying, and working with gene expression data and biological sequence data.

Maintained by Stephen Turner. Last updated 11 months ago.

2 stars 5.44 score 174 scripts 1 dependents

fbellelli

countries:Deal with Country Data in an Easy Way

Wrangle country data more effectively and quickly. This package contains functions to easily identify and convert country names, download country information, merge country data from different sources, and make quick world maps.

Maintained by Francesco Saverio Bellelli. Last updated 1 months ago.

3 stars 5.15 score 47 scripts

mandymejia

fMRItools:Routines for Common fMRI Processing Tasks

Supports fMRI (functional magnetic resonance imaging) analysis tasks including reading in 'CIFTI', 'GIFTI' and 'NIFTI' data, temporal filtering, nuisance regression, and aCompCor (anatomical Components Correction) (Muschelli et al. (2014) <doi:10.1016/j.neuroimage.2014.03.028>).

Maintained by Amanda Mejia. Last updated 22 days ago.

2 stars 5.10 score 35 scripts 4 dependents

devpsylab

petersenlab:A Collection of R Functions by the Petersen Lab

A collection of R functions that are widely used by the Petersen Lab. Included are functions for various purposes, including evaluating the accuracy of judgments and predictions, performing scoring of assessments, generating correlation matrices, conversion of data between various types, data management, psychometric evaluation, extensions related to latent variable modeling, various plotting capabilities, and other miscellaneous useful functions. By making the package available, we hope to make our methods reproducible and replicable by others and to help others perform their data processing and analysis methods more easily and efficiently. The codebase is provided in Petersen (2025) <doi:10.5281/zenodo.7602890> and on 'CRAN': <doi: 10.32614/CRAN.package.petersenlab>. The package is described in "Principles of Psychological Assessment: With Applied Examples in R" (Petersen, 2024, 2025) <doi:10.1201/9781003357421>, <doi:10.25820/work.007199>, <doi:10.5281/zenodo.6466589>.

Maintained by Isaac T. Petersen. Last updated 1 months ago.

data-analysis data-analysis-in-r data-management psychometrics

1 stars 4.10 score 1 scripts

nicholasjcooper

NCmisc:Miscellaneous Functions for Creating Adaptive Functions and Scripts

A set of handy functions. Includes a versatile one line progress bar, one line function timer with detailed output, time delay function, text histogram, object preview, CRAN package search, simpler package installer, Linux command install check, a flexible Mode function, top function, simulation of correlated data, and more.

Maintained by Nicholas Cooper. Last updated 2 years ago.

3.86 score 172 scripts 5 dependents

jimlemon

prettyR:Pretty Descriptive Stats

Functions for conventionally formatting descriptive stats, reshaping data frames and formatting R output as HTML.

Maintained by Jim Lemon. Last updated 6 years ago.

3.28 score 207 scripts 1 dependents

markusloecher

rfVarImpOOB:Unbiased Variable Importance for Random Forests

Computes a novel variable importance for random forests: Impurity reduction importance scores for out-of-bag (OOB) data complementing the existing inbag Gini importance, see also <doi: 10.1080/03610926.2020.1764042>. The Gini impurities for inbag and OOB data are combined in three different ways, after which the information gain is computed at each split. This gain is aggregated for each split variable in a tree and averaged across trees.

Maintained by Markus Loecher. Last updated 3 years ago.

2.00 score 5 scripts

cran

BayesCPclust:A Bayesian Approach for Clustering Constant-Wise Change-Point Data

A Gibbs sampler algorithm was developed to estimate change points in constant-wise data sequences while performing clustering simultaneously. The algorithm is described in da Cruz, A. C. and de Souza, C. P. E "A Bayesian Approach for Clustering Constant-wise Change-point Data" <doi:10.48550/arXiv.2305.17631>.

Maintained by Ana Carolina da Cruz. Last updated 2 months ago.

1.70 score

pvermees

geostats:An Introduction to Statistics for Geoscientists

A collection of datasets and simplified functions for an introductory (geo)statistics module at University College London. Provides functionality for compositional, directional and spatial data, including ternary diagrams, Wulff and Schmidt stereonets, and ordinary kriging interpolation. Implements logistic and (additive and centred) logratio transformations. Computes vector averages and concentration parameters for the von-Mises distribution. Includes a collection of natural and synthetic fractals, and a simulator for deterministic chaos using a magnetic pendulum example. The main purpose of these functions is pedagogical. Researchers can find more complete alternatives for these tools in other packages such as 'compositions', 'robCompositions', 'sp', 'gstat' and 'RFOC'. All the functions are written in plain R, with no compiled code and a minimal number of dependencies. Theoretical background and worked examples are available at <https://tinyurl.com/UCLgeostats/>.

Maintained by Pieter Vermeesch. Last updated 2 years ago.

1.58 score 38 scripts