Showing 13 of total 13 results (show query)
ropensci
git2r:Provides Access to Git Repositories
Interface to the 'libgit2' library, which is a pure C implementation of the 'Git' core methods. Provides access to 'Git' repositories to extract data and running some basic 'Git' commands.
Maintained by Stefan Widgren. Last updated 7 hours ago.
gitgit-clientlibgit2libgit2-library
218 stars 13.94 score 836 scripts 46 dependents
jabiru
tictoc:Functions for Timing R Scripts, as Well as Implementations of "Stack" and "StackList" Structures
Code execution timing functions 'tic' and 'toc' that can be nested. One can record all timings while a complex script is running, and examine the values later. It is also possible to instrument the timing calls with custom callbacks. In addition, this package provides class 'Stack', implemented as a vector, and class 'StackList', which is a stack implemented as a list, both of which support operations 'push', 'pop', 'first_element', 'last_element' and 'clear'.
Maintained by Sergei Izrailev. Last updated 12 months ago.
9 stars 10.45 score 12k scripts 47 dependentsropensci
git2rdata:Store and Retrieve Data.frames in a Git Repository
The git2rdata package is an R package for writing and reading dataframes as plain text files. A metadata file stores important information. 1) Storing metadata allows to maintain the classes of variables. By default, git2rdata optimizes the data for file storage. The optimization is most effective on data containing factors. The optimization makes the data less human readable. The user can turn this off when they prefer a human readable format over smaller files. Details on the implementation are available in vignette("plain_text", package = "git2rdata"). 2) Storing metadata also allows smaller row based diffs between two consecutive commits. This is a useful feature when storing data as plain text files under version control. Details on this part of the implementation are available in vignette("version_control", package = "git2rdata"). Although we envisioned git2rdata with a git workflow in mind, you can use it in combination with other version control systems like subversion or mercurial. 3) git2rdata is a useful tool in a reproducible and traceable workflow. vignette("workflow", package = "git2rdata") gives a toy example. 4) vignette("efficiency", package = "git2rdata") provides some insight into the efficiency of file storage, git repository size and speed for writing and reading.
Maintained by Thierry Onkelinx. Last updated 2 months ago.
reproducible-researchversion-control
99 stars 10.03 score 216 scripts 4 dependents
hauselin
ollamar:'Ollama' Language Models
An interface to easily run local language models with 'Ollama' <https://ollama.com> server and API endpoints (see <https://github.com/ollama/ollama/blob/main/docs/api.md> for details). It lets you run open-source large language models locally on your machine.
Maintained by Hause Lin. Last updated 6 days ago.
89 stars 9.32 score 74 scripts 5 dependents
cran
RCurl:General Network (HTTP/FTP/...) Client Interface for R
A wrapper for 'libcurl' <https://curl.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Maintained by CRAN Team. Last updated 8 days ago.
2 stars 8.50 score 1.0k dependents
rdpeng
filehash:Simple Key-Value Database
Implements a simple key-value style database where character string keys are associated with data values that are stored on the disk. A simple interface is provided for inserting, retrieving, and deleting data from the database. Utilities are provided that allow 'filehash' databases to be treated much like environments and lists are already used in R. These utilities are provided to encourage interactive and exploratory analysis on large datasets. Three different file formats for representing the database are currently available and new formats can easily be incorporated by third parties for use in the 'filehash' framework.
Maintained by Roger D. Peng. Last updated 2 years ago.
24 stars 8.16 score 78 scripts 11 dependents
bioc
debrowser:Interactive Differential Expresion Analysis Browser
Bioinformatics platform containing interactive plots and tables for differential gene and region expression studies. Allows visualizing expression data much more deeply in an interactive and faster way. By changing the parameters, users can easily discover different parts of the data that like never have been done before. Manually creating and looking these plots takes time. With DEBrowser users can prepare plots without writing any code. Differential expression, PCA and clustering analysis are made on site and the results are shown in various plots such as scatter, bar, box, volcano, ma plots and Heatmaps.
Maintained by Alper Kucukural. Last updated 5 months ago.
sequencingchipseqrnaseqdifferentialexpressiongeneexpressionclusteringimmunooncology
61 stars 7.80 score 65 scripts
cdueben
cppcontainers:'C++' Standard Template Library Containers
Use 'C++' Standard Template Library containers interactively in R. Includes sets, unordered sets, multisets, unordered multisets, maps, unordered maps, multimaps, unordered multimaps, stacks, queues, priority queues, vectors, deques, forward lists, and lists.
Maintained by Christian Düben. Last updated 2 months ago.
4.70 score 1 scripts
paulponcet
flifo:Don't Get Stuck with Stacks in R
Functions to create and manipulate FIFO (First In First Out), LIFO (Last In First Out), and NINO (Not In or Never Out) stacks in R.
Maintained by Paul Poncet. Last updated 6 years ago.
4 stars 4.30 score 10 scripts
antonio-pgarcia
evoper:Evolutionary Parameter Estimation for 'Repast Simphony' Models
The EvoPER, Evolutionary Parameter Estimation for Individual-based Models is an extensible package providing optimization driven parameter estimation methods using metaheuristics and evolutionary computation techniques (Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization for continuous domains, Tabu Search, Evolutionary Strategies, ...) which could be more efficient and require, in some cases, fewer model evaluations than alternatives relying on experimental design. Currently there are built in support for models developed with 'Repast Simphony' Agent-Based framework (<https://repast.github.io/>) and with NetLogo (<https://ccl.northwestern.edu/netlogo/>) which are the most used frameworks for Agent-based modeling.
Maintained by Antonio Prestes Garcia. Last updated 5 years ago.
6 stars 3.92 score 28 scripts
notplancha
settingsSync:'Rstudio' Addin to Sync Settings and Keymaps
Provides a 'Rstudio' addin to download, merge and upload 'Rstudio' settings and keymaps, essentially 'syncing them' at will. It uses 'Google Drive' as a cloud storage to keep the settings and keymaps files.
Maintained by André Plancha. Last updated 10 months ago.
google-driverstudiorstudio-addin
2 stars 3.30 score
paciorek
bigGP:Distributed Gaussian Process Calculations
Distributes Gaussian process calculations across nodes in a distributed memory setting, using Rmpi. The bigGP class provides high-level methods for maximum likelihood with normal data, prediction, calculation of uncertainty (i.e., posterior covariance calculations), and simulation of realizations. In addition, bigGP provides an API for basic matrix calculations with distributed covariance matrices, including Cholesky decomposition, back/forwardsolve, crossproduct, and matrix multiplication.
Maintained by Christopher Paciorek. Last updated 2 years ago.
2.02 score 21 scripts
sambaala
acumos:'Acumos' R Interface
Create, upload and run 'Acumos' R models. 'Acumos' (<https://www.acumos.org>) is a platform and open source framework intended to make it easy to build, share, and deploy AI apps. 'Acumos' is part of the 'LF AI Foundation', an umbrella organization within 'The Linux Foundation'. With this package, user can create a component, and push it to an 'Acumos' platform.
Maintained by Alassane Samba. Last updated 4 years ago.
1.00 score 4 scripts