Showing 15 of total 15 results (show query)
r-lib
pak:Another Approach to Package Installation
The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
Maintained by Gábor Csárdi. Last updated 11 hours ago.
73.3 match 717 stars 13.05 score 277 scripts 17 dependentsdfsp-spirit
wal:Read and Write 'wal' Bitmap Image Files and Other 'Quake' Assets
Read 'Quake' assets including bitmap images and textures in 'wal' file format. This package also provides support for extracting these assets from 'WAD' and 'PAK' file archives. It can also read models in 'MDL' and 'MD2' formats.
Maintained by Tim Schäfer. Last updated 1 years ago.
imagepakquakequake-enginequake2textureswadwal
19.7 match 9 stars 4.65 score 1 scriptspredictiveecology
Require:Installing and Loading R Packages for Reproducible Workflows
A single key function, 'Require' that makes rerun-tolerant versions of 'install.packages' and `require` for CRAN packages, packages no longer on CRAN (i.e., archived), specific versions of packages, and GitHub packages. This approach is developed to create reproducible workflows that are flexible and fast enough to use while in development stages, while able to build snapshots once a stable package collection is found. As with other functions in a reproducible workflow, this package emphasizes functions that return the same result whether it is the first or subsequent times running the function, with subsequent times being sufficiently fast that they can be run every time without undue waiting burden on the user or developer.
Maintained by Eliot J B McIntire. Last updated 15 days ago.
5.4 match 22 stars 9.42 score 144 scripts 13 dependentsichcha-m
cophescan:Adaptation of the Coloc Method for PheWAS
A Bayesian method for Phenome-wide association studies (PheWAS) that identifies causal associations between genetic variants and traits, while simultaneously addressing confounding due to linkage disequilibrium. For details see Manipur et al (2023) <doi:10.1101/2023.06.29.546856>.
Maintained by Ichcha Manipur. Last updated 9 months ago.
5.2 match 6 stars 5.76 score 24 scriptspakdaewo
ALassoSurvIC:Adaptive Lasso for the Cox Regression with Interval Censored and Possibly Left Truncated Data
Penalized variable selection tools for the Cox proportional hazards model with interval censored and possibly left truncated data. It performs variable selection via penalized nonparametric maximum likelihood estimation with an adaptive lasso penalty. The optimal thresholding parameter can be searched by the package based on the profile Bayesian information criterion (BIC). The asymptotic validity of the methodology is established in Li et al. (2019 <doi:10.1177/0962280219856238>). The unpenalized nonparametric maximum likelihood estimation for interval censored and possibly left truncated data is also available.
Maintained by Daewoo Pak. Last updated 2 years ago.
9.3 match 2 stars 2.15 score 14 scriptspakdaewo
ClinicalTrialSummary:Summary Measures for Clinical Trials with Survival Outcomes
Provides estimates of several summary measures for clinical trials including the average hazard ratio, the weighted average hazard ratio, the restricted superiority probability ratio, the restricted mean survival difference and the ratio of restricted mean times lost, based on the short-term and long-term hazard ratio model (Yang, 2005 <doi:10.1093/biomet/92.1.1>) which accommodates various non-proportional hazards scenarios. The inference procedures and the asymptotic results for the summary measures are discussed in Yang (2018, <doi:10.1002/sim.7676>).
Maintained by Daewoo Pak. Last updated 6 years ago.
9.4 match 1.70 score 10 scriptsjimbrig
configR:R Conviguration Package
Setup and configure an optimal R development environment.
Maintained by Jimmy Briggs. Last updated 3 years ago.
2.3 match 1 stars 3.11 score 260 scriptsr-lib
pkgdepends:Package Dependency Resolution and Downloads
Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain a consistent set of packages to install. Download packages, and install them. It supports packages on 'CRAN', 'Bioconductor' and other 'CRAN-like' repositories, 'GitHub', package 'URLs', and local package trees and files. It caches metadata and package files via the 'pkgcache' package, and performs all 'HTTP' requests, downloads, builds and installations in parallel. 'pkgdepends' is the workhorse of the 'pak' package.
Maintained by Gábor Csárdi. Last updated 17 days ago.
0.5 match 110 stars 9.89 score 67 scripts 5 dependentsiembry
install.load:Check, Install and Load CRAN Packages
The function 'install_load' checks the local R library(ies) to see if the required package(s) is/are installed or not. If the package(s) is/are not installed, then the package(s) will be installed along with the required dependency(ies). This function pulls source or binary packages from the Posit/RStudio-sponsored CRAN mirror. Lastly, the chosen package(s) is/are loaded. The function 'load_package' simply loads the provided package(s). If this package does not fit your needs, then you may want to consider these other R packages: 'needs', 'easypackages', 'pacman', 'pak', 'anyLib', and/or 'librarian'.
Maintained by Irucka Embry. Last updated 2 years ago.
0.5 match 3.86 score 146 scriptspaulesantos
iucnr:IUCN Red List Data
Facilitates access to the International Union for Conservation of Nature (IUCN) Red List of Threatened Species, a comprehensive global inventory of species at risk of extinction. This package streamlines the process of determining conservation status by matching species names with Red List data, providing tools to easily query and retrieve conservation statuses. Designed to support biodiversity research and conservation planning, this package relies on data from the 'iucnrdata' package, available on GitHub <https://github.com/PaulESantos/iucnrdata>. To install the data package, use pak::pak('PaulESantos/iucnrdata').
Maintained by Paul Efren Santos Andrade. Last updated 4 months ago.
0.8 match 1.70 score