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ices-tools-prod

TAF:Transparent Assessment Framework for Reproducible Research

General framework to organize data, methods, and results used in reproducible scientific analyses. A TAF analysis consists of four scripts (data.R, model.R, output.R, report.R) that are run sequentially. Each script starts by reading files from a previous step and ends with writing out files for the next step. Convenience functions are provided to version control the required data and software, run analyses, clean residues from previous runs, manage files, manipulate tables, and produce figures. With a focus on stability and reproducible analyses, the TAF package comes with no dependencies. TAF forms a base layer for the 'icesTAF' package and other scientific applications.

Maintained by Arni Magnusson. Last updated 4 days ago.

3 stars 8.05 score 282 scripts 2 dependents

ices-tools-prod

icesTAF:Functions to Support the ICES Transparent Assessment Framework

Functions to support the ICES Transparent Assessment Framework <https://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.

Maintained by Colin Millar. Last updated 2 years ago.

5 stars 6.37 score 1.1k scripts 1 dependents

fabian-s

spikeSlabGAM:Bayesian Variable Selection and Model Choice for Generalized Additive Mixed Models

Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via stochastic search variable selection with spike-and-slab priors.

Maintained by Fabian Scheipl. Last updated 5 months ago.

openblas

14 stars 6.28 score 15 scripts 1 dependents

gesistsa

sweater:Speedy Word Embedding Association Test and Extras Using R

Conduct various tests for evaluating implicit biases in word embeddings: Word Embedding Association Test (Caliskan et al., 2017), <doi:10.1126/science.aal4230>, Relative Norm Distance (Garg et al., 2018), <doi:10.1073/pnas.1720347115>, Mean Average Cosine Similarity (Mazini et al., 2019) <arXiv:1904.04047>, SemAxis (An et al., 2018) <arXiv:1806.05521>, Relative Negative Sentiment Bias (Sweeney & Najafian, 2019) <doi:10.18653/v1/P19-1162>, and Embedding Coherence Test (Dev & Phillips, 2019) <arXiv:1901.07656>.

Maintained by Chung-hong Chan. Last updated 2 months ago.

bias-detectiontextanalysiswordembeddingcpp

30 stars 4.80 score 14 scripts

cran

kappalab:Non-Additive Measure and Integral Manipulation Functions

S4 tool box for capacity (or non-additive measure, fuzzy measure) and integral manipulation in a finite setting. It contains routines for handling various types of set functions such as games or capacities. It can be used to compute several non-additive integrals: the Choquet integral, the Sugeno integral, and the symmetric and asymmetric Choquet integrals. An analysis of capacities in terms of decision behavior can be performed through the computation of various indices such as the Shapley value, the interaction index, the orness degree, etc. The well-known Möbius transform, as well as other equivalent representations of set functions can also be computed. Kappalab further contains seven capacity identification routines: three least squares based approaches, a method based on linear programming, a maximum entropy like method based on variance minimization, a minimum distance approach and an unsupervised approach based on parametric entropies. The functions contained in Kappalab can for instance be used in the framework of multicriteria decision making or cooperative game theory.

Maintained by Ivan Kojadinovic. Last updated 1 years ago.

2.21 score 5 dependents

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