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Compute Contributional Diversity Metrics
Compute alpha and beta contributional diversity metrics,
which is intended for linking taxonomic and functional microbiome
data. See 'GitHub' repository for the tutorial:
< https://github.com/gavinmdouglas/FuncDiv/wiki>. Citation: Gavin M.
Douglas, Sunu Kim, Morgan G. I. Langille, B. Jesse Shapiro (2023)
Econometric Tools for Performance and Risk Analysis
Collection of econometric functions for performance and risk analysis. In addition to standard risk and performance metrics, this package aims to aid practitioners and researchers in utilizing the latest research in analysis of non-normal return streams. In general, it is most tested on return (rather than price) data on a regular scale, but most functions will work with irregular return data as well, and increasing numbers of functions will work with P&L or price data where possible.
Tool for Unbiased Literature Searching and Gene List Curation
Designed for genomic and proteomic data analysis, enabling unbiased PubMed searching, protein interaction network visualization, and comprehensive data summarization. This package aims to help users identify novel targets within their data sets based on protein network interactions and publication precedence of target's association with research context based on literature precedence. Methods in this package are described in detail in: Douglas et al. (2025)
Examples from Multilevel Modelling Software Review
Data and examples from a multilevel modelling software review as well as other well-known data sets from the multilevel modelling literature.
Benchmark the Performance of 'shiny' Applications
Compare performance between different versions of a 'shiny' application based on 'git' references.
Quick Multivariate Graphs
Functions used for graphing in multivariate contexts. These functions are designed to support produce reasonable graphs with minimal input of graphing parameters. The motivation for these functions was to support students learning multivariate concepts and R - there may be other functions and packages better-suited to practical data analysis. For details about the ellipse methods see Johnson and Wichern (2007, ISBN:9780131877153).
'R' 'Markdown' Format for 'shower' Presentations
'R' 'Markdown' format for 'shower' presentations, see < https://github.com/shower/shower>.
Approximate Marginal Inference for Regression-Scale Models
Implements likelihood inference based on higher order approximations for linear nonnormal regression models.
Processing of Model Parameters
Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Probability of Sporulation Potential in MAGs
Implements an ensemble machine learning approach to predict the sporulation potential of metagenome-assembled genomes (MAGs) from uncultivated Firmicutes based on the presence/absence of sporulation-associated genes.