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USA Presidential Elections Data
This includes a dataset on the outcomes of the USA presidential elections since 1920, and various predictors, as used in < http://vanderwalresearch.com/blog/15-elections>.
Extrema-Weighted Feature Extraction
Extrema-weighted feature extraction for varying length functional data. Functional data analysis method that performs dimensionality reduction based on predefined features and allows for quantile weighting. Method implemented as presented in Van den Boom et al. (2018)
"Hit and Run" and "Shake and Bake" for Sampling Uniformly from Convex Shapes
The "Hit and Run" Markov Chain Monte Carlo method for sampling uniformly from convex shapes defined by linear constraints, and the "Shake and Bake" method for sampling from the boundary of such shapes. Includes specialized functions for sampling normalized weights with arbitrary linear constraints.
Compositional Data Analysis
Provides functions for the consistent analysis of compositional data (e.g. portions of substances) and positive numbers (e.g. concentrations) in the way proposed by J. Aitchison and V. Pawlowsky-Glahn.
A Genetic Algorithm for Fixed-Size Subset Selection
Provides a function that uses a genetic algorithm to search for a subset of size k from the integers 1:n, such that a user-supplied objective function is minimized at that subset. The selection step is done by tournament selection based on ranks, and elitism may be used to retain a portion of the best solutions from one generation to the next. Population objective function values may optionally be evaluated in parallel.
Google Search Console R Client
Provides an interface with the Google Search Console, formally called Google Webmaster Tools.
Quality Control of Genome Wide Association Study results
Tools for (automated and manual) quality control of the results of Genome Wide Association Studies
Helper Functions for Rmd Documents
A series of functions to aid in repeated tasks for Rmd documents. All details are to my personal preference, though I am happy to add flexibility if there are use cases I am missing. I will continue updating with new functions as I add utility functions for myself.
Relative Risk Regression Using the Log-Binomial Model
Methods for fitting log-link GLMs and GAMs to binomial data, including EM-type algorithms with more stable convergence properties than standard methods.