Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.

DSDApp: an open-access tool for Definitive Screening Design

Catalog of mixed four-and-two-level regular designs

Power analysis for fish guidance structures in downstream migration of fish in Swiss rivers

Bayesian Computation using Design of Experiments-based Interpolation Technique in R

Script used for my undergraduate thesis

Two-way ANOVA with Interaction consulting analysis in R

Determine the impact of a treatment using test-control and pre-post data

This project is a Pinball designed experiment to determine the effect of different types of ball on the distance in which the ball is thrown. After gathering the data from thrown balls, a hypothesis test was done on the sample mean of each treatment (thrown ball) in a completely randomized design with an alpha around 0.05.

R package for computing optimal regression designs under second-order least-squares estimator

Course Project: Design of Experiment