🔗 Methods for Correlation Analysis

r correlation matrix regression outliers robust bayesian gamma hacktoberfest partial gaussian-graphical-models cor correlations correlation-analysis spearman partial-correlations easystats bayesian-correlations multilevel-correlations biserial

• Updated Oct 8, 2025
• R

General purpose correlation and covariance estimation

r covariance cross-correlation covariance-estimation cross-covariance partial-correlations

• Updated Nov 2, 2023
• R

Here I illustrate how GGM selection methods work better in network hub and cluster detection when the false discover rate (FDR) control is ignored.

ggplot2 r rstudio community-detection igraph fdr precision-matrix partial-correlations

• Updated Aug 19, 2021
• R

Analyzed U.S. environmental emissions and industrial data using Tableau and Power BI, focusing on climate change impacts. Developed dashboards to visualize trends, cleaned data with Tableau Prep, and highlighted industry-specific and regional variations to guide emission reduction strategies

python exploratory-data-analysis jupyter-notebook data-visualization predictive-modeling arima-model time-series-forecasting time-series-decomposition partial-correlations auto-correlation sarima-model residual-analysis augmented-dickey-fuller-test seasonal-decomposition

• Updated Oct 19, 2025