Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
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Updated
Apr 2, 2024 - R
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.
A Tool for Valid Inference Corrected for Outlier Removal in Linear Regressions
University project about linear programming problem using regression analysis
Explaining postoperative pain after mandibular third molar extraction.
This project aims to develop a decision support system (DSS) to enhance Burger Bounty, a gourmet meatless burger food truck operating in the Hartford area. The system will aid the owner, in optimizing food truck sales and operations through data analysis and strategic recommendations.
Machine learning project to distinguish between positive and negative reviews. Uses three classifiers: Naive Bayes, Support Vector Machine and Linear Regression Model.
Linear Regularization | Columbia Business School
The analysis uses R language to run a multiple linear regression, t-tests, and generate summary statistics, in order to aid an automotive company in identifying the production troubles that are hindering the manufacture of a prototype car of theirs.
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