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easystats
easystats:Framework for Easy Statistical Modeling, Visualization, and Reporting
A meta-package that installs and loads a set of packages from 'easystats' ecosystem in a single step. This collection of packages provide a unifying and consistent framework for statistical modeling, visualization, and reporting. Additionally, it provides articles targeted at instructors for teaching 'easystats', and a dashboard targeted at new R users for easily conducting statistical analysis by accessing summary results, model fit indices, and visualizations with minimal programming.
Maintained by Daniel Lüdecke. Last updated 27 days ago.
dataanalyticsdatascienceeasystatshacktoberfestmodelsperformance-metricsregression-modelsstatistics
1.1k stars 13.01 score 1.8k scripts 1 dependents
serkor1
SLmetrics:Machine Learning Performance Evaluation on Steroids
Performance evaluation metrics for supervised and unsupervised machine learning, statistical learning and artificial intelligence applications. Core computations are implemented in 'C++' for scalability and efficiency.
Maintained by Serkan Korkmaz. Last updated 3 days ago.
cppdata-analysisdata-scienceeigen3machine-learningperformance-metricsrcpprcppeigenstatisticssupervised-learningcppopenmp
22 stars 6.56 score
ardiad
PeerPerformance:Luck-Corrected Peer Performance Analysis in R
Provides functions to perform the peer performance analysis of funds' returns as described in Ardia and Boudt (2018) <doi:10.1016/j.jbankfin.2017.10.014>.
Maintained by David Ardia. Last updated 5 months ago.
alphafinancefundsperformance-analysisperformance-metricsscreeningsharpe
12 stars 3.78 score 10 scripts