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r-rpact
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public |
Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
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2025-09-28 |
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r-bas
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public |
Package for Bayesian Variable Selection and Model Averaging in linear models and generalized linear models using stochastic or deterministic sampling without replacement from posterior distributions. Prior distributions on coefficients are from Zellner's g-prior or mixtures of g-priors corresponding to the Zellner-Siow Cauchy Priors or the mixture of g-priors from Liang et al (2008) <DOI:10.1198/016214507000001337> for linear models or mixtures of g-priors from Li and Clyde (2019) <DOI:10.1080/01621459.2018.1469992> in generalized linear models. Other model selection criteria include AIC, BIC and Empirical Bayes estimates of g. Sampling probabilities may be updated based on the sampled models using sampling w/out replacement or an efficient MCMC algorithm which samples models using a tree structure of the model space as an efficient hash table. See Clyde, Ghosh and Littman (2010) <DOI:10.1198/jcgs.2010.09049> for details on the sampling algorithms. Uniform priors over all models or beta-binomial prior distributions on model size are allowed, and for large p truncated priors on the model space may be used to enforce sampling models that are full rank. The user may force variables to always be included in addition to imposing constraints that higher order interactions are included only if their parents are included in the model. This material is based upon work supported by the National Science Foundation under Division of Mathematical Sciences grant 1106891. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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2025-09-28 |
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r-sparsesvd
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public |
Wrapper around the 'SVDLIBC' library for (truncated) singular value decomposition of a sparse matrix. Currently, only sparse real matrices in Matrix package format are supported.
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2025-09-28 |
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r-geor
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public |
Geostatistical analysis including variogram-based, likelihood-based and Bayesian methods. Software companion for Diggle and Ribeiro (2007) <doi:10.1007/978-0-387-48536-2>.
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2025-09-28 |
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xtensor-r
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public |
R bindings for xtensor, the C++ tensor algebra library
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2025-09-28 |
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r-refund
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public |
Methods for regression for functional data, including function-on-scalar, scalar-on-function, and function-on-function regression. Some of the functions are applicable to image data.
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2025-09-28 |
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polycap
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public |
Polycapillary X-ray raytracing
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2025-09-28 |
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r-easydescribe
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public |
Descriptive Statistics is essential for publishing articles. This package can perform descriptive statistics according to different data types. If the data is a continuous variable, the mean and standard deviation or median and quartiles are automatically output; if the data is a categorical variable, the number and percentage are automatically output. In addition, if you enter two variables, the first variable will be described hierarchically based on the second variable and the statistical differences between different groups will be compared using appropriate statistical methods. And for groups more than two, the post hoc test will be applied. For more information on the methods we used, please see the following references: Libiseller, C. and Grimvall, A. (2002) <doi:10.1002/env.507>, Patefield, W. M. (1981) <doi:10.2307/2346669>, Hope, A. C. A. (1968) <doi:10.1111/J.2517-6161.1968.TB00759.X>, Mehta, C. R. and Patel, N. R. (1983) <doi:10.1080/01621459.1983.10477989>, Mehta, C. R. and Patel, N. R. (1986) <doi:10.1145/6497.214326>, Clarkson, D. B., Fan, Y. and Joe, H. (1993) <doi:10.1145/168173.168412>, Cochran, W. G. (1954) <doi:10.2307/3001616>, Armitage, P. (1955) <doi:10.2307/3001775>, Szabo, A. (2016) <doi:10.1080/00031305.2017.1407823>, David, F. B. (1972) <doi:10.1080/01621459.1972.10481279>, Joanes, D. N. and Gill, C. A. (1998) <doi:10.1111/1467-9884.00122>, Dunn, O. J. (1964) <doi:10.1080/00401706.1964.10490181>, Copenhaver, M. D. and Holland, B. S. (1988) <doi:10.1080/00949658808811082>, Chambers, J. M., Freeny, A. and Heiberger, R. M. (1992) <doi:10.1201/9780203738535-5>, Shaffer, J. P. (1995) <doi:10.1146/annurev.ps.46.020195.003021>, Myles, H. and Douglas, A. W. (1973) <doi:10.2307/2063815>, Rahman, M. and Tiwari, R. (2012) <doi:10.4236/health.2012.410139>. Thode, H. J. (2002) <doi:10.1201/9780203910894>.
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2025-09-28 |
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r-easystats
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public |
A meta-package that installs and loads a set of packages from 'easystats' ecosystem in a single step. This collection of packages provide a unifying and consistent framework for statistical modeling, visualization, and reporting. Additionally, it provides articles targeted at instructors for teaching 'easystats', and a dashboard targeted at new R users for easily conducting statistical analysis by accessing summary results, model fit indices, and visualizations with minimal programming.
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2025-09-28 |
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pgvector
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public |
Open-source vector similarity search for Postgres.
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2025-09-28 |
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aiida-pythonjob
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public |
Run Python functions on a remote computer.
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2025-09-28 |
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azure-multiapi-storage
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public |
Microsoft Azure Storage Client Library for Python with multi API version support.
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2025-09-28 |
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r-gamm4
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public |
Estimate generalized additive mixed models via a version of function gamm() from 'mgcv', using 'lme4' for estimation.
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2025-09-28 |
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r-see
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public |
Provides plotting utilities supporting easystats-packages (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://www.materialui.co/colors>.
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2025-09-28 |
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r-rcompanion
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public |
Functions and datasets to support "Summary and Analysis of Extension Program Evaluation in R" and "An R Companion for the Handbook of Biological Statistics". Vignettes are available at <http://rcompanion.org>.
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2025-09-28 |
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pyload-ng
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public |
The free and open-source Download Manager written in pure Python
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2025-09-28 |
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poli
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public |
poli, a library of discrete objective functions
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2025-09-28 |
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vue-language-server
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public |
High-performance Vue language tooling based-on Volar.js
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2025-09-28 |
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langfuse-python
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public |
A client library for accessing langfuse
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2025-09-28 |
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nodejs
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public |
a platform for easily building fast, scalable network applications
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2025-09-28 |
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openstacksdk
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public |
Collection of libraries for building applications to work with OpenStack clouds.
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2025-09-28 |
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r-extrafontdb
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public |
Package for holding the database for the extrafont package
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2025-09-28 |
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r-ggalign
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public |
A 'ggplot2' extension providing an integrative framework for composable visualization, enabling the creation of complex multi-plot layouts such as insets, circular arrangements, and multi-panel compositions. Built on the grammar of graphics, it offers tools to align, stack, and nest plots, simplifying the construction of richly annotated figures for high-dimensional data contexts—such as genomics, transcriptomics, and microbiome studies—by making it easy to link related plots, overlay clustering results, or highlight shared patterns.
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2025-09-28 |
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r-hardyweinberg
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public |
Contains tools for exploring Hardy-Weinberg equilibrium (Hardy, 1908; Weinberg, 1908) <doi:10.1126/science.28.706.49> for bi and multi-allelic genetic marker data. All classical tests (chi-square, exact, likelihood-ratio and permutation tests) with bi-allelic variants are included in the package, as well as functions for power computation and for the simulation of marker data under equilibrium and disequilibrium. Routines for dealing with markers on the X-chromosome are included (Graffelman & Weir, 2016) <doi: 10.1038/hdy.2016.20>, including Bayesian procedures. Some exact and permutation procedures also work with multi-allelic variants. Special test procedures that jointly address Hardy-Weinberg equilibrium and equality of allele frequencies in both sexes are supplied, for the bi and multi-allelic case. Functions for testing equilibrium in the presence of missing data by using multiple imputation are also provided. Implements several graphics for exploring the equilibrium status of a large set of bi-allelic markers: ternary plots with acceptance regions, log-ratio plots and Q-Q plots.
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2025-09-28 |
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checkstyle
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public |
Checkstyle is a development tool to help programmers write Java code that adheres to a coding standard
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2025-09-28 |
