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r-isingfit
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public |
This network estimation procedure eLasso, which is based on the Ising model, combines l1-regularized logistic regression with model selection based on the Extended Bayesian Information Criterion (EBIC). EBIC is a fit measure that identifies relevant relationships between variables. The resulting network consists of variables as nodes and relevant relationships as edges. Can deal with binary data.
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2025-09-24 |
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lfortran
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public |
Modern interactive LLVM-based Fortran compiler
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2025-09-24 |
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r-data.tree
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public |
Create tree structures from hierarchical data, and traverse the tree in various orders. Aggregate, cumulate, print, plot, convert to and from data.frame and more. Useful for decision trees, machine learning, finance, conversion from and to JSON, and many other applications.
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2025-09-24 |
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r-pedquant
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public |
Provides an interface to access public economic and financial data for economic research and quantitative analysis. The data sources including NBS, FRED, 163, Sina, Eastmoney and etc. It also provides quantitative functions for trading strategies based on the 'data.table', 'TTR', 'PerformanceAnalytics' and etc packages.
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2025-09-24 |
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pvlib-python
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public |
A set functions and classes for simulating the performance of photovoltaic energy systems.
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2025-09-24 |
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pvlib
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public |
A set functions and classes for simulating the performance of photovoltaic energy systems.
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2025-09-24 |
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pydantic-settings
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public |
Settings management using Pydantic
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2025-09-24 |
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globus-compute-sdk
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public |
Globus Compute: High Performance Function Serving for Science
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2025-09-24 |
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schema-salad
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public |
Schema Annotations for Linked Avro Data (SALAD)
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2025-09-24 |
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r-flare
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public |
Provide the implementation of a family of Lasso variants including Dantzig Selector, LAD Lasso, SQRT Lasso, Lq Lasso for estimating high dimensional sparse linear model. We adopt the alternating direction method of multipliers and convert the original optimization problem into a sequential L1 penalized least square minimization problem, which can be efficiently solved by linearization algorithm. A multi-stage screening approach is adopted for further acceleration. Besides the sparse linear model estimation, we also provide the extension of these Lasso variants to sparse Gaussian graphical model estimation including TIGER and CLIME using either L1 or adaptive penalty. Missing values can be tolerated for Dantzig selector and CLIME. The computation is memory-optimized using the sparse matrix output.
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2025-09-24 |
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pyoptsparse
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public |
Package for formulating and solving nonlinear constrained optimization problems.
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2025-09-24 |
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r-imager
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public |
Fast image processing for images in up to 4 dimensions (two spatial dimensions, one time/depth dimension, one colour dimension). Provides most traditional image processing tools (filtering, morphology, transformations, etc.) as well as various functions for easily analysing image data using R. The package wraps 'CImg', <http://cimg.eu>, a simple, modern C++ library for image processing.
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2025-09-24 |
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r-multbxxc
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public |
Contains auxiliary routines for influx software. This packages is not intended to be used directly. Influx was published here: Sokol et al. (2012) <doi:10.1093/bioinformatics/btr716>.
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2025-09-24 |
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r-gunifrac
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public |
A suite of methods for powerful and robust microbiome data analysis including data normalization, data simulation, community-level association testing and differential abundance analysis. It implements generalized UniFrac distances, Geometric Mean of Pairwise Ratios (GMPR) normalization, semiparametric data simulator, distance-based statistical methods, and feature-based statistical methods. The distance-based statistical methods include three extensions of PERMANOVA: (1) PERMANOVA using the Freedman-Lane permutation scheme, (2) PERMANOVA omnibus test using multiple matrices, and (3) analytical approach to approximating PERMANOVA p-value. Feature-based statistical methods include linear model-based permutation tests for differential abundance analysis of zero-inflated compositional data.
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2025-09-24 |
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r-superheat
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public |
A system for generating extendable and customizable heatmaps for exploring complex datasets, including big data and data with multiple data types.
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2025-09-24 |
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r-rmisc
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public |
The Rmisc library contains many functions useful for data analysis and utility operations.
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2025-09-24 |
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r-ezplot
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public |
Wrapper for the 'ggplot2' package that creates a variety of common charts (e.g. bar, line, area, ROC, waterfall, pie) while aiming to reduce typing.
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2025-09-24 |
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r-mlflow
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public |
R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
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2025-09-24 |
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r-did
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public |
The standard Difference-in-Differences (DID) setup involves two periods and two groups -- a treated group and untreated group. Many applications of DID methods involve more than two periods and have individuals that are treated at different points in time. This package contains tools for computing average treatment effect parameters in Difference in Differences setups with more than two periods and with variation in treatment timing using the methods developed in Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>. The main parameters are group-time average treatment effects which are the average treatment effect for a particular group at a a particular time. These can be aggregated into a fewer number of treatment effect parameters, and the package deals with the cases where there is selective treatment timing, dynamic treatment effects, calendar time effects, or combinations of these. There are also functions for testing the Difference in Differences assumption, and plotting group-time average treatment effects.
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2025-09-24 |
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r-sigmajs
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public |
Interface to 'sigma.js' graph visualization library including animations, plugins and shiny proxies.
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2025-09-24 |
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r-plsrglm
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public |
Provides (weighted) Partial least squares Regression for generalized linear models and repeated k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.
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2025-09-24 |
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gsshapyorm
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public |
SQLAlchemy Object Relational Model for GSSHA model files.
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2025-09-24 |
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r-forestly
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public |
Interactive forest plot for clinical trial safety analysis using 'metalite', 'reactable', 'plotly', and Analysis Data Model (ADaM) datasets. Includes functionality for adverse event filtering, incidence-based group filtering, hover-over reveals, and search and sort operations. The workflow allows for metadata construction, data preparation, output formatting, and interactive plot generation.
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2025-09-24 |
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lazyslide
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public |
Modularized and scalable whole slide image analysis
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2025-09-24 |
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r-ggnetwork
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public |
Geometries to plot network objects with 'ggplot2'.
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2025-09-24 |
