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indrajeetpatil
statsExpressions:Tidy Dataframes and Expressions with Statistical Details
Utilities for producing dataframes with rich details for the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation analyses, contingency table analyses, and meta-analyses. The functions are pipe-friendly and provide a consistent syntax to work with tidy data. These dataframes additionally contain expressions with statistical details, and can be used in graphing packages. This package also forms the statistical processing backend for 'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.
Maintained by Indrajeet Patil. Last updated 1 months ago.
bayesian-inferencebayesian-statisticscontingency-tablecorrelationeffectsizemeta-analysisparametricrobustrobust-statisticsstatistical-detailsstatistical-teststidy
312 stars 10.92 score 146 scripts 2 dependents
rsquaredacademy
inferr:Inferential Statistics
Select set of parametric and non-parametric statistical tests. 'inferr' builds upon the solid set of statistical tests provided in 'stats' package by including additional data types as inputs, expanding and restructuring the test results. The tests included are t tests, variance tests, proportion tests, chi square tests, Levene's test, McNemar Test, Cochran's Q test and Runs test.
Maintained by Aravind Hebbali. Last updated 5 months ago.
inferenceinferential-statisticsnon-parametricparametricstatistical-testscpp
37 stars 6.10 score 34 scripts
hongyuanjia
epluspar:Conduct Parametric Analysis on 'EnergyPlus' Models
A toolkit for conducting parametric analysis on 'EnergyPlus'(<https://energyplus.net>) models in R, including sensitivity analysis using Morris method and Bayesian calibration using using 'Stan'(<https://mc-stan.org>). References: Chong (2018) <doi:10.1016/j.enbuild.2018.06.028>.
Maintained by Hongyuan Jia. Last updated 1 years ago.
bayesian-calibrationenergyplusparametricsensitivity-analysiscpp
9 stars 2.65 score 4 scripts