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please
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public |
High-performance extensible build system for reproducible multi-language builds.
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2025-09-23 |
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r-wfe
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public |
Provides a computationally efficient way of fitting weighted linear fixed effects estimators for causal inference with various weighting schemes. Weighted linear fixed effects estimators can be used to estimate the average treatment effects under different identification strategies. This includes stratified randomized experiments, matching and stratification for observational studies, first differencing, and difference-in-differences. The package implements methods described in Imai and Kim (2017) "When should We Use Linear Fixed Effects Regression Models for Causal Inference with Longitudinal Data?", available at <https://imai.fas.harvard.edu/research/FEmatch.html>.
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2025-09-23 |
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enblend
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public |
Enblend combines images that overlap like this into a single large image with no seams.
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2025-09-23 |
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pathlib2
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Fork of pathlib aiming to support the full stdlib Python API
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2025-09-23 |
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r-alpaca
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public |
Provides a routine to partial out factors with many levels during the optimization of the log-likelihood function of the corresponding generalized linear model (glm). The package is based on the algorithm described in Stammann (2018) <arXiv:1707.01815> and is restricted to glm's that are based on maximum likelihood estimation and nonlinear. It also offers an efficient algorithm to recover estimates of the fixed effects in a post-estimation routine and includes robust and multi-way clustered standard errors. Further the package provides analytical bias corrections for binary choice models derived by Fernandez-Val and Weidner (2016) <doi:10.1016/j.jeconom.2015.12.014> and Hinz, Stammann, and Wanner (2020) <arXiv:2004.12655>.
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2025-09-23 |
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ephem
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Basic astronomical computations for Python
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2025-09-23 |
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r-jbrowser
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Provides an R interface to the JBrowse 2 genome browser. Enables embedding a JB2 genome browser in a Shiny app or R Markdown document. The browser can also be launched from an interactive R console. The browser can be loaded with a variety of common genomics data types, and can be used with a custom theme.
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2025-09-23 |
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r-metarep
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User-friendly package for reporting replicability-analysis methods, affixed to meta-analyses
summary. The replicability-analysis output provides an assessment of the investigated
intervention, where it offers quantification of effect replicability and assessment
of the consistency of findings.
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2025-09-23 |
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r-r.rsp
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public |
The RSP markup language makes any text-based document come alive. RSP provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. 'Today's date is <%=Sys.Date()%>'. Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries. RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things. Functions rstring() and rcat() make it easy to process RSP strings, rsource() sources an RSP file as it was an R script, while rfile() compiles it (even online) into its final output format, e.g. rfile('report.tex.rsp') generates 'report.pdf' and rfile('report.md.rsp') generates 'report.html'. RSP is ideal for self-contained scientific reports and R package vignettes. It's easy to use - if you know how to write an R script, you'll be up and running within minutes.
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2025-09-23 |
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r-rnpn
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public |
Programmatic interface to the Web Service methods provided by the National 'Phenology' Network (<https://usanpn.org/>), which includes data on various life history events that occur at specific times.
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2025-09-23 |
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r-slickr
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public |
Create and customize interactive carousels using the 'Slick' JavaScript library and the 'htmlwidgets' package. The carousels can contain plots produced in R, images, 'iframes', videos and other 'htmlwidgets'. These carousels can be created directly from the R console, and viewed in the 'RStudio' internal viewer, in Shiny apps and R Markdown documents.
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2025-09-23 |
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r-superpc
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Supervised principal components for regression and survival analsysis. Especially useful for high-dimnesional data, including microarray data.
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2025-09-23 |
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r-nlsic
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public |
We solve non linear least squares problems with optional equality and/or inequality constraints. Non linear iterations are globalized with back-tracking method. Linear problems are solved by dense QR decomposition from 'LAPACK' which can limit the size of treated problems. On the other side, we avoid condition number degradation which happens in classical quadratic programming approach. Inequality constraints treatment on each non linear iteration is based on 'NNLS' method (by Lawson and Hanson). We provide an original function 'lsi_ln' for solving linear least squares problem with inequality constraints in least norm sens. Thus if Jacobian of the problem is rank deficient a solution still can be provided. However, truncation errors are probable in this case. Equality constraints are treated by using a basis of Null-space. User defined function calculating residuals must return a list having residual vector (not their squared sum) and Jacobian. If Jacobian is not in the returned list, package 'numDeriv' is used to calculated finite difference version of Jacobian. The 'NLSIC' method was fist published in Sokol et al. (2012) <doi:10.1093/bioinformatics/btr716>.
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2025-09-23 |
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r-shinytree
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public |
Exposes bindings to jsTree -- a JavaScript library that supports interactive trees -- to enable a rich, editable trees in Shiny.
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2025-09-23 |
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r-shapes
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public |
Routines for the statistical analysis of landmark shapes, including Procrustes analysis, graphical displays, principal components analysis, permutation and bootstrap tests, thin-plate spline transformation grids and comparing covariance matrices. See Dryden, I.L. and Mardia, K.V. (2016). Statistical shape analysis, with Applications in R (2nd Edition), John Wiley and Sons.
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2025-09-23 |
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r-plot3drgl
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The 'rgl' implementation of plot3D functions.
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2025-09-23 |
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r-msqc
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public |
This is a toolkit for multivariate process monitoring. It computes several multivariate control charts e.g. Hotelling, Chi-squared, MEWMA, MCUSUM and Generalized Variance. Ten didactic datasets are included. It includes some techniques for assessing multivariate normality e.g. Mardia's, Royston's and Henze-Zirkler's tests. Please, see the NEWS file for the latest changes in the package.
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2025-09-23 |
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r-pals
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public |
A comprehensive collection of color palettes, colormaps, and tools to evaluate them.
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2025-09-23 |
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r-longitudinaldata
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Tools for longitudinal data and joint longitudinal data (used by packages kml and kml3d).
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2025-09-23 |
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csvprintf
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Simple CSV file parser for the UNIX command line
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2025-09-23 |
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msal
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public |
Microsoft Authentication Library (MSAL) for Python makes it easy to authenticate to Azure Active Directory
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2025-09-23 |
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r-pgenlibr
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A thin wrapper over PLINK 2's core libraries which provides an R interface for reading .pgen files. A minimal .pvar loader is also included. Chang et al. (2015) \doi{10.1186/s13742-015-0047-8}.
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2025-09-23 |
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mpi4py
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Python bindings for MPI
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2025-09-23 |
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libuuid
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public |
Portable uuid C library.
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2025-09-23 |
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r-modelsummary
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public |
Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents.
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2025-09-23 |
