dloewenstein
by dloewenstein
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| Name | Latest Version | Summary | Updated | License |
|---|
| r-simplyagree | 0.1.2 | Reliability and agreement analyses often have limited software support. Therefore, this package was created to make agreement and reliability analyses easier for the average researcher. The functions within this package include simple tests of agreement, agreement analysis for nested and replicate data, and provide robust analyses of reliability. In addition, this package contains a set of functions to help when planning studies looking to assess measurement agreement. For robust analyses of agreement, limits of agreement through a bootstrap method can also be calculated. | Mar 25, 2025 | GPL-3 |
| torch-two-sample | 0.1 | A PyTorch library for two-sample tests | Mar 25, 2025 | BSD + file LICENSE |
| r-matchit | 3.0.2 | Selects matched samples of the original treated and control groups with similar covariate distributions -- can be used to match exactly on covariates, to match on propensity scores, or perform a variety of other matching procedures. The package also implements a series of recommendations offered in Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>. | Mar 25, 2025 | GPL (>= 2) |
| r-v8 | 2.2 | An R interface to Google's open source JavaScript engine. This package can now be compiled either with V8 version 6 or 7 (LTS) from nodejs or with the legacy 3.14/3.15 branch of V8. | Mar 25, 2025 | MIT + file LICENSE |
| r-straindys | 0.1.1 | A grewing collection of tools to help faciliatate calculation of newly developed strain and dyssynchrony metrics. Tools both for global dyssynchrony as well as regional. Built for use with CMR FT, and the Medviso Segment software. | Mar 25, 2025 | MIT + file LICENSE |
| r-cutpointr | 1.0.0 | Estimate cutpoints that optimize a specified metric in binary classification tasks and validate performance using bootstrapping. Some methods for more robust cutpoint estimation and various plotting functions are included. | Mar 25, 2025 | GPL-3 |
| r-rrtools | 0.1.0 | Instructions, templates, and functions for making a basic compendium suitable for doing reproducible research with R. | Mar 25, 2025 | MIT + file LICENSE |
| r-vitae | 0.2.0 | Provides templates and functions to simplify the production and maintenance of curriculum vitae. | Mar 25, 2025 | GPL-3 |
| r-pdp | 0.7.0 | A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R. | Mar 25, 2025 | GPL (>= 2) |
| r-promise | 0.1.6 | ECG, Echocardiographic and demographic for 93,000 Duke University Medical Center patients. | Mar 25, 2025 | What license it uses |
| r-gmodels | 2.18.1 | Various R programming tools for model fitting. | Mar 25, 2025 | GPL-2 |
| r-matching | 4.9_3 | Provides functions for multivariate and propensity score matching and for finding optimal balance based on a genetic search algorithm. A variety of univariate and multivariate metrics to determine if balance has been obtained are also provided. | Mar 25, 2025 | GPL-3 |
| r-bookdown | 0.7 | Output formats and utilities for authoring books and technical documents with R Markdown. | Mar 25, 2025 | GPL-3 |
| r-fansi | 0.4.0 | Counterparts to R string manipulation functions that account for the effects of ANSI text formatting control sequences. | Mar 25, 2025 | GPL (>= 2) |
| r-haven | 2.0.0 | Import foreign statistical formats into R via the embedded 'ReadStat' C library, <https://github.com/WizardMac/ReadStat>. | Mar 25, 2025 | MIT + file LICENSE |
| r-optmatch | 0.9_10 | Distance based bipartite matching using the RELAX-IV minimum cost flow solver, oriented to matching of treatment and control groups in observational studies. Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination. | Mar 25, 2025 | file LICENSE |
| r-future | 1.12.0 | The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multiprocess)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures. | Mar 25, 2025 | LGPL (>= 2.1) |
| r-colorramps | 2.3 | Builds gradient color maps | Mar 25, 2025 | GPL |
| r-fs | 1.2.7 | A cross-platform interface to file system operations, built on top of the 'libuv' C library. | Mar 25, 2025 | GPL-3 |
| r-rethinking | 1.88 | Utilities for fitting and comparing models | Mar 25, 2025 | GPL (>= 3) |
| r-here | 0.1 | Constructs paths to your project's files. The 'here()' function uses a reasonable heuristics to find your project's files, based on the current working directory at the time when the package is loaded. Use it as a drop-in replacement for 'file.path()', it will always locate the files relative to your project root. | Mar 25, 2025 | GPL-3 |
| r-dagitty | 0.2_2 | A port of the web-based software 'DAGitty', available at <http://dagitty.net>, for analyzing structural causal models (also known as directed acyclic graphs or DAGs). This package computes covariate adjustment sets for estimating causal effects, enumerates instrumental variables, derives testable implications (d-separation and vanishing tetrads), generates equivalent models, and includes a simple facility for data simulation. | Mar 25, 2025 | GPL-2 |
| r-ritools | 0.1_16 | Tools for randomization inference. | Mar 25, 2025 | GPL (>= 2) |
| r-survmisc | 0.5.5 | A collection of functions to help in the analysis of right-censored survival data. These extend the methods available in package:survival. | Mar 25, 2025 | GPL-2 |
| r-forestplot | 1.7.2 | A forest plot that allows for multiple confidence intervals per row, custom fonts for each text element, custom confidence intervals, text mixed with expressions, and more. The aim is to extend the use of forest plots beyond meta-analyses. This is a more general version of the original 'rmeta' package's forestplot() function and relies heavily on the 'grid' package. | Mar 25, 2025 | GPL-2 |