missCompare R package - intuitive missing data imputation framework
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Updated
Dec 2, 2020 - R
missCompare R package - intuitive missing data imputation framework
A clinical genomics-guided prioritizing strategy enables accurately selecting proper cancer cell lines for biomedical research
APEXSENSUN is a package in R for performing uncertainty and sensitivity analysis for the APEX model.
[STATISTICAL ANALYSIS] Integrating Automation and Visualization for Optimal Data Analytics
Statistical analyses of the 2021 Albanian parliamentary elections
Report findings from normality tests such as shapiro.test, ad.test, ols_normality_test.
This repository contains Materials for Non-Parametric Inference
Built LDA and QDA models on variables obtained from Principal Component Analysis (PCA) and Kolmogorov-Smirnov (KS) and tuned by leave-one-out cross-validation (LOOCV) to predict fraudulent online advertising click traffic
Analysis of two variables by nonparametric method
R codes for Nonparametric Statistics
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