Showing 8 of total 8 results (show query)
rstudio
renv:Project Environments
A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Maintained by Kevin Ushey. Last updated 2 days ago.
1.0k stars 18.59 score 1.5k scripts 114 dependentshenrikbengtsson
R.oo:R Object-Oriented Programming with or without References
Methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers. The package has been developed since 2001 and is now considered very stable. This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks.
Maintained by Henrik Bengtsson. Last updated 5 months ago.
20 stars 11.49 score 329 scripts 828 dependentsacclab
dabestr:Data Analysis using Bootstrap-Coupled Estimation
Data Analysis using Bootstrap-Coupled ESTimation. Estimation statistics is a simple framework that avoids the pitfalls of significance testing. It uses familiar statistical concepts: means, mean differences, and error bars. More importantly, it focuses on the effect size of one's experiment/intervention, as opposed to a false dichotomy engendered by P values. An estimation plot has two key features: 1. It presents all datapoints as a swarmplot, which orders each point to display the underlying distribution. 2. It presents the effect size as a bootstrap 95% confidence interval on a separate but aligned axes. Estimation plots are introduced in Ho et al., Nature Methods 2019, 1548-7105. <doi:10.1038/s41592-019-0470-3>. The free-to-view PDF is located at <https://www.nature.com/articles/s41592-019-0470-3.epdf?author_access_token=Euy6APITxsYA3huBKOFBvNRgN0jAjWel9jnR3ZoTv0Pr6zJiJ3AA5aH4989gOJS_dajtNr1Wt17D0fh-t4GFcvqwMYN03qb8C33na_UrCUcGrt-Z0J9aPL6TPSbOxIC-pbHWKUDo2XsUOr3hQmlRew%3D%3D>.
Maintained by Yishan Mai. Last updated 1 years ago.
data-analysisdata-visualizationestimationstatistics
214 stars 9.80 score 142 scriptsjacobbien
simulator:An Engine for Running Simulations
A framework for performing simulations such as those common in methodological statistics papers. The design principles of this package are described in greater depth in Bien, J. (2016) "The simulator: An Engine to Streamline Simulations," which is available at <arXiv:1607.00021>.
Maintained by Jacob Bien. Last updated 2 years ago.
52 stars 7.13 score 103 scriptsankane
jetpack:A Friendly Package Manager
Manage project dependencies from your DESCRIPTION file. Create a reproducible virtual environment with minimal additional files in your project. Provides tools to add, remove, and update dependencies as well as install existing dependencies with a single function.
Maintained by Andrew Kane. Last updated 11 days ago.
242 stars 5.96 score 19 scriptsklmr
rprofile:Load Both User-Global and Project-Specific R Profile Configurations
Use rprofile::load() inside a project '.Rprofile' file to ensure that the user-global '.Rprofile' is loaded correctly regardless of its location, and that other common resources (in particular 'renv') are also set up correctly.
Maintained by Konrad Rudolph. Last updated 4 months ago.
4 stars 3.90 score 4 scriptsyannrichet-asnr
rlibkriging:Kriging Models using the 'libKriging' Library
Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, 'lbfgsb_cpp' is a 'C++' port around by Pascal Have of 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
Maintained by Yann Richet. Last updated 2 months ago.
3.40 score 126 scriptscran
nfer:Event Stream Abstraction using Interval Logic
This is the R API for the 'nfer' formalism (<http://nfer.io/>). 'nfer' was developed to specify event stream abstractions for spacecraft telemetry such as the Mars Science Laboratory. Users write rules using a syntax that borrows heavily from Allen's Temporal Logic that, when applied to an event stream, construct a hierarchy of temporal intervals with data. The R API supports loading rules from a file or mining them from historical data. Traces of events or pools of intervals are provided as data frames.
Maintained by Sean Kauffman. Last updated 2 years ago.
2.00 score