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stan-dev

posterior:Tools for Working with Posterior Distributions

Provides useful tools for both users and developers of packages for fitting Bayesian models or working with output from Bayesian models. The primary goals of the package are to: (a) Efficiently convert between many different useful formats of draws (samples) from posterior or prior distributions. (b) Provide consistent methods for operations commonly performed on draws, for example, subsetting, binding, or mutating draws. (c) Provide various summaries of draws in convenient formats. (d) Provide lightweight implementations of state of the art posterior inference diagnostics. References: Vehtari et al. (2021) <doi:10.1214/20-BA1221>.

Maintained by Paul-Christian Bürkner. Last updated 15 hours ago.

bayesbayesianmcmc

168 stars 16.21 score 3.3k scripts 346 dependents

mitchelloharawild

distributional:Vectorised Probability Distributions

Vectorised distribution objects with tools for manipulating, visualising, and using probability distributions. Designed to allow model prediction outputs to return distributions rather than their parameters, allowing users to directly interact with predictive distributions in a data-oriented workflow. In addition to providing generic replacements for p/d/q/r functions, other useful statistics can be computed including means, variances, intervals, and highest density regions.

Maintained by Mitchell OHara-Wild. Last updated 2 days ago.

probability-distributionstatisticsvctrs

100 stars 13.54 score 744 scripts 388 dependents

kkholst

lava:Latent Variable Models

A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.

Maintained by Klaus K. Holst. Last updated 3 months ago.

latent-variable-modelssimulationstatisticsstructural-equation-models

33 stars 12.87 score 610 scripts 478 dependents

r-forge

coin:Conditional Inference Procedures in a Permutation Test Framework

Conditional inference procedures for the general independence problem including two-sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems described in <doi:10.18637/jss.v028.i08>.

Maintained by Torsten Hothorn. Last updated 9 months ago.

11.70 score 1.6k scripts 73 dependents

alexpghayes

distributions3:Probability Distributions as S3 Objects

Tools to create and manipulate probability distributions using S3. Generics pdf(), cdf(), quantile(), and random() provide replacements for base R's d/p/q/r style functions. Functions and arguments have been named carefully to minimize confusion for students in intro stats courses. The documentation for each distribution contains detailed mathematical notes.

Maintained by Alex Hayes. Last updated 6 months ago.

102 stars 11.35 score 118 scripts 7 dependents

aalfons

laeken:Estimation of Indicators on Social Exclusion and Poverty

Estimation of indicators on social exclusion and poverty, as well as Pareto tail modeling for empirical income distributions.

Maintained by Andreas Alfons. Last updated 1 years ago.

3 stars 9.57 score 300 scripts 30 dependents

poissonconsulting

extras:Helper Functions for Bayesian Analyses

Functions to 'numericise' 'R' objects (coerce to numeric objects), summarise 'MCMC' (Monte Carlo Markov Chain) samples and calculate deviance residuals as well as 'R' translations of some 'BUGS' (Bayesian Using Gibbs Sampling), 'JAGS' (Just Another Gibbs Sampler), 'STAN' and 'TMB' (Template Model Builder) functions.

Maintained by Nicole Hill. Last updated 2 months ago.

9 stars 8.49 score 15 scripts 16 dependents

bioc

isobar:Analysis and quantitation of isobarically tagged MSMS proteomics data

isobar provides methods for preprocessing, normalization, and report generation for the analysis of quantitative mass spectrometry proteomics data labeled with isobaric tags, such as iTRAQ and TMT. Features modules for integrating and validating PTM-centric datasets (isobar-PTM). More information on http://www.ms-isobar.org.

Maintained by Florian P Breitwieser. Last updated 5 months ago.

immunooncologyproteomicsmassspectrometrybioinformaticsmultiplecomparisonsqualitycontrol

10 stars 6.96 score 19 scripts

bendeivide

leem:Laboratory of Teaching to Statistics and Mathematics

An educational package for teaching statistics and mathematics in both primary and higher education. The objective is to assist in the teaching/learning process, both for student study planning and teacher teaching strategies. The leem package aims to provide, in a simple yet in-depth manner, knowledge of statistics and mathematics to anyone who wants to study these areas of knowledge.

Maintained by Ben Deivide. Last updated 17 hours ago.

4 stars 5.44 score 152 scripts

tesselle

nexus:Sourcing Archaeological Materials by Chemical Composition

Exploration and analysis of compositional data in the framework of Aitchison (1986, ISBN: 978-94-010-8324-9). This package provides tools for chemical fingerprinting and source tracking of ancient materials.

Maintained by Nicolas Frerebeau. Last updated 24 days ago.

archaeologyarchaeological-sciencearchaeometrycompositional-dataprovenance-studies

5.21 score 26 scripts 1 dependents

rsoc

soc.ca:Specific Correspondence Analysis for the Social Sciences

Specific and class specific multiple correspondence analysis on survey-like data. Soc.ca is optimized to the needs of the social scientist and presents easily interpretable results in near publication ready quality.

Maintained by Anton Grau Larsen. Last updated 1 years ago.

14 stars 4.15 score 50 scripts

wahani

saeRobust:Robust Small Area Estimation

Methods to fit robust alternatives to commonly used models used in Small Area Estimation. The methods here used are based on best linear unbiased predictions and linear mixed models. At this time available models include area level models incorporating spatial and temporal correlation in the random effects.

Maintained by Sebastian Warnholz. Last updated 1 years ago.

openblascpp

1 stars 4.03 score 12 scripts 3 dependents

andriyprotsak5

UAHDataScienceSF:Interactive Statistical Learning Functions

An educational toolkit for learning statistical concepts through interactive exploration. Provides functions for basic statistics (mean, variance, etc.) and probability distributions with step-by-step explanations and interactive learning modes. Each function can be used for simple calculations, detailed learning with explanations, or interactive practice with feedback.

Maintained by Andriy Protsak Protsak. Last updated 1 months ago.

3.30 score

rrrlw

fitscape:Classes for Fitness Landscapes and Seascapes

Convenient classes to model fitness landscapes and fitness seascapes. A low-level package with which most users will not interact but upon which other packages modeling fitness landscapes and fitness seascapes will depend.

Maintained by Raoul Wadhwa. Last updated 3 years ago.

3.18 score 2 scripts 1 dependents

ycroissant

descstat:Tools for Descriptive Statistics

A toolbox for descriptive statistics, based on the computation of frequency and contingency tables. Several statistical functions and plot methods are provided to describe univariate or bivariate distributions of factors, integer series and numerical series either provided as individual values or as bins.

Maintained by Yves Croissant. Last updated 4 years ago.

2 stars 3.00 score 1 scripts

robinhankin

Davies:The Davies Quantile Function

Various utilities for the Davies distribution.

Maintained by Robin K. S. Hankin. Last updated 3 years ago.

2.90 score 16 scripts

cran

randomUniformForest:Random Uniform Forests for Classification, Regression and Unsupervised Learning

Ensemble model, for classification, regression and unsupervised learning, based on a forest of unpruned and randomized binary decision trees. Each tree is grown by sampling, with replacement, a set of variables at each node. Each cut-point is generated randomly, according to the continuous Uniform distribution. For each tree, data are either bootstrapped or subsampled. The unsupervised mode introduces clustering, dimension reduction and variable importance, using a three-layer engine. Random Uniform Forests are mainly aimed to lower correlation between trees (or trees residuals), to provide a deep analysis of variable importance and to allow native distributed and incremental learning.

Maintained by Saip Ciss. Last updated 3 years ago.

cpp

4 stars 2.90 score

christianroever

bspec:Bayesian Spectral Inference

Bayesian inference on the (discrete) power spectrum of time series.

Maintained by Christian Roever. Last updated 3 years ago.

2.71 score 86 scripts 2 dependents

da-zar

ROCket:Simple and Fast ROC Curves

A set of functions for receiver operating characteristic (ROC) curve estimation and area under the curve (AUC) calculation. All functions are designed to work with aggregated data; nevertheless, they can also handle raw samples. In 'ROCket', we distinguish two types of ROC curve representations: 1) parametric curves - the true positive rate (TPR) and the false positive rate (FPR) are functions of a parameter (the score), 2) functions - TPR is a function of FPR. There are several ROC curve estimation methods available. An introduction to the mathematical background of the implemented methods (and much more) can be found in de Zea Bermudez, Gonçalves, Oliveira & Subtil (2014) <https://www.ine.pt/revstat/pdf/rs140101.pdf> and Cai & Pepe (2004) <doi:10.1111/j.0006-341X.2004.00200.x>.

Maintained by Daniel Lazar. Last updated 4 years ago.

1 stars 2.70 score 6 scripts

pettermostad

lestat:A Package for Learning Statistics

Some simple objects and functions to do statistics using linear models and a Bayesian framework.

Maintained by Petter Mostad. Last updated 7 years ago.

2.28 score 64 scripts 1 dependents

cran

kappalab:Non-Additive Measure and Integral Manipulation Functions

S4 tool box for capacity (or non-additive measure, fuzzy measure) and integral manipulation in a finite setting. It contains routines for handling various types of set functions such as games or capacities. It can be used to compute several non-additive integrals: the Choquet integral, the Sugeno integral, and the symmetric and asymmetric Choquet integrals. An analysis of capacities in terms of decision behavior can be performed through the computation of various indices such as the Shapley value, the interaction index, the orness degree, etc. The well-known Möbius transform, as well as other equivalent representations of set functions can also be computed. Kappalab further contains seven capacity identification routines: three least squares based approaches, a method based on linear programming, a maximum entropy like method based on variance minimization, a minimum distance approach and an unsupervised approach based on parametric entropies. The functions contained in Kappalab can for instance be used in the framework of multicriteria decision making or cooperative game theory.

Maintained by Ivan Kojadinovic. Last updated 1 years ago.

2.21 score 5 dependents

cran

HyRiM:Multicriteria Risk Management using Zero-Sum Games with Vector-Valued Payoffs that are Probability Distributions

Construction and analysis of multivalued zero-sum matrix games over the abstract space of probability distributions, which describe the losses in each scenario of defense vs. attack action. The distributions can be compiled directly from expert opinions or other empirical data (insofar available). The package implements the methods put forth in the EU project HyRiM (Hybrid Risk Management for Utility Networks), FP7 EU Project Number 608090. The method has been published in Rass, S., König, S., Schauer, S., 2016. Decisions with Uncertain Consequences-A Total Ordering on Loss-Distributions. PLoS ONE 11, e0168583. <doi:10.1371/journal.pone.0168583>, and applied for advanced persistent thread modeling in Rass, S., König, S., Schauer, S., 2017. Defending Against Advanced Persistent Threats Using Game-Theory. PLoS ONE 12, e0168675. <doi:10.1371/journal.pone.0168675>. A volume covering the wider range of aspects of risk management, partially based on the theory implemented in the package is the book edited by S. Rass and S. Schauer, 2018. Game Theory for Security and Risk Management: From Theory to Practice. Springer, <doi:10.1007/978-3-319-75268-6>, ISBN 978-3-319-75267-9.

Maintained by "Stefan Rass, on behalf of the Austrian Institute of Technology". Last updated 2 years ago.

2.00 score

cran

DAKS:Data Analysis and Knowledge Spaces

Functions and an example dataset for the psychometric theory of knowledge spaces. This package implements data analysis methods and procedures for simulating data and quasi orders and transforming different formulations in knowledge space theory. See package?DAKS for an overview.

Maintained by Ali Uenlue. Last updated 9 years ago.

2.00 score

etievant

CaseCohortCoxSurvival:Case-Cohort Cox Survival Inference

Cox model inference for relative hazard and covariate-specific pure risk estimated from stratified and unstratified case-cohort data as described in Etievant, L., Gail, M.H. (Lifetime Data Analysis, 2024) <doi:10.1007/s10985-024-09621-2>.

Maintained by Lola Etievant. Last updated 6 months ago.

1.00 score

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