Enhancing {ggplot2} plots with statistical analysis 📊📣
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Updated
May 15, 2024 - R
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
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.
Median Test in R Software
A Simple and Flexible Test of Sample Exchangeability with Applications to Statistical Genomics
Program Evaluation with Non-Parametric Statistics and Hypothesis Testing
This is an R package for feature alignment issues in vertical federated learning
Computer Intensive Stats - Project 02
Project scope: Prediction if the bank's client will or will not leave the bank.
Materials of the Hands-on Biostatistics 2021 workshop
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.
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.
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