Enhancing {ggplot2} plots with statistical analysis 📊📣

A pure Julia implementation of the Targeted Minimum Loss-based Estimation

📦 Simultaneous Confidence Bands Based on the Efficient Influence Function and Multiplier Bootstrap 📚 🔮 📡

Hands-on Instructions on Different courses

This repo is for copula based analysis on bivariate as well as multivariate data sets in ecology and related fields. For details and citation we refer to this publication: Ghosh et al., Advances in Ecological Research, vol 62,pp 409, 2020

Hypothesis Testing CrossFit Game 2015

Reproducible materials for Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces (JASA, 2023+)

Correlated Zero Inflated Negative Binomial Process

Median Test in R Software

This project offers an R code implementation for estimating the density function using the kernel method. It explores different values of the parameters h and n to perform these estimations.

A Simple and Flexible Test of Sample Exchangeability with Applications to Statistical Genomics

Program Evaluation with Non-Parametric Statistics and Hypothesis Testing

Project scope: Prediction if the bank's client will or will not leave the bank.

This is an R package for feature alignment issues in vertical federated learning

Computer Intensive Stats - Project 02

All my R code used for statistical analyses - Hypothesis Testing, t-tests, etc.

Accessible implementation of statistical learning algorithms, non-parametric and high-dimensional methods.

1. 1-sample sign test 2. 1-sample Wilcoxon test. 3. Wilcoxon test for paired data. 4. Mann-Whitney test. 5. Mood's median test. 6. Kruskal Wallis test. 7. Friedman test.

The shared area under probability distribution curves test is a non-parametric alternative to the analysis of variance. It makes no assumptions about the data and it is not based on ranks, so information about absolute distances between data points is not lost.