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David Kepplinger's Projects

adapense-paper-numerical-studies icon adapense-paper-numerical-studies

Code to re-create results for the manuscript "Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression"

examinr icon examinr

Create Online Exams in R via Interactive Shiny Documents

gaselect icon gaselect

Genetic Algorithm for Variable Selection using Partial Least Squares

gbm icon gbm

Gradient boosted models (the old gbm package)

learnr icon learnr

Interactive Tutorials with R Markdown

pense-rpkg icon pense-rpkg

R Package implementing the Penalized Elastic Net S- and MM-Estimator for Linear Regression

pyinit icon pyinit

Pena-Yohai Initial Estimators for S-Estimators of Regression

revealjs icon revealjs

R Markdown Format for reveal.js Presentations

robstattm icon robstattm

Companion package to the 2nd edition of the book "Robust Statistics: Theory and Methods"

timethreshold-prx-neurosurgery-analysis icon timethreshold-prx-neurosurgery-analysis

Analysis code accompanying the manuscript "Time Thresholds for using Pressure Reactivity Index in Neuroprognostication for Patients with Severe Traumatic Brain Injury" submitted to NEUROSURGERY.

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