Parametric and non-parametric statistical tests
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Updated
Jul 20, 2021 - R
Parametric and non-parametric statistical tests
This is the R code for several common non-parametric methods (kernel est., mean regression, quantile regression, boostraps) with both practical applications on data and simulations
Generalized Pairwise Comparisons
An R package for kernel density estimation with parametric starts and asymmetric kernels.
Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups
R package for displaying bootstrap-based confidence intervals around mean and median
Code for the paper "Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models"
Repository containing codes for various statistical hypothesis tests written in R.
Multivariate independent comparison of observations.
This a project I did in the Spring of 2017 for the graduate course of Statistical Computing. This project includes T-Tests, Non-parametric Tests, Linear Regressions, Correlation Tests, Chi Square Tests, and tests for normality. This project also includes some basic graphing.
Some code related to our paper Per,Duc,Nes. Detection (2019). The objective is to detect block-exchangeable structures in correlation matrices. For any help, please contact me or leave a comment somewhere. I will be glad to help you.
This is a repository for the paper "Towards a General Methodology of Bridging Ideological Spaces."
Statistics on App usage data
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