An R package for Bayesian structural equation modeling using INLA

A collection of Python coded analysis and automation of risk mitigation strategies in portfolio management.

an R package for structural equation modeling and more

Landing page for the SMiG Lab

Recursive Partitioning for Structural Equation Models

An R package for Bayesian structural equation modeling

Python package for conducting power analysis for experiments using regression and/or clustered data.

rstanarm R package for Bayesian applied regression modeling

Predicting loan interest rate using R.

Exploring and Predicting California's housing data

Augmented backward elimination for SAS: A Pragmatic and Purposeful Way to Develop Statistical Models

Data science projects created using actual data, using Python and R.

Tool for extracting part of speech n-grams (POS-grams) together with their context (preceding/following POS or sentence onset/ending).)

Expand broom::tidy() output for categorical parameter estimates

rstanarm R package for Bayesian applied regression modeling

Explore glider aviation safety through in-depth data analysis. This project leverages incident reports and manufacturing data, utilizing Python and Jupyter Notebooks for trend identification, risk assessment, and safety enhancement in glider aviation.

A series of Statistical Modelling assignments with the use of R. Applications of Linear, Polynomial, Logistic and Poisson Regression in various datasets

Assignment for university. Statistical Inference and Modeling.

Assignment for university. Statistical Inference and Modeling.

Special repository hosting the InPhyT website.