Routines for Common fMRI Processing Tasks

Supports fMRI (functional magnetic resonance imaging) analysis tasks including reading in 'CIFTI', 'GIFTI' and 'NIFTI' data, temporal filtering, nuisance regression, and aCompCor (anatomical Components Correction) (Muschelli et al. (2014) ).

Distances on Directed Graphs

Distances on dual-weighted directed graphs using priority-queue shortest paths (Padgham (2019) ). Weighted directed graphs have weights from A to B which may differ from those from B to A. Dual-weighted directed graphs have two sets of such weights. A canonical example is a street network to be used for routing in which routes are calculated by weighting distances according to the type of way and mode of transport, yet lengths of routes must be calculated from direct distances.

Dynamic Function-Oriented 'Make'-Like Declarative Pipelines

Pipeline tools coordinate the pieces of computationally demanding analysis projects. The 'targets' package is a 'Make'-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, ).

Identify Event Sequences Using Time Series Joins

Examine any number of time series data frames to identify instances in which various criteria are met within specified time frames. In clinical medicine, these types of events are often called "constellations of signs and symptoms", because a single condition depends on a series of events occurring within a certain amount of time of each other. This package was written to work with any number of time series data frames and is optimized for speed to work well with data frames with millions of rows.

Advanced Policing Techniques for the Board Game "Letters from Whitechapel"

Provides a set of functions to make tracking the hidden movements of the 'Jack' player easier. By tracking every possible path Jack might have traveled from the point of the initial murder including special movement such as through alleyways and via carriages, the police can more accurately narrow the field of their search. Additionally, by tracking all possible hideouts from round to round, rounds 3 and 4 should have a vastly reduced field of search.

Generates Expectations for 'testthat' Unit Testing

Helps systematize and ease the process of building unit tests with the 'testthat' package by providing tools for generating expectations.

Configurable Reporting on your External Compute Environment

Runs a series of configurable tests against a user's compute environment. This can be used for checking that things like a specific directory or an environment variable is available before you start an analysis. Alternatively, you can use the package's situation report when filing error reports with your compute infrastructure.

Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs

Tools to design best-worst scaling designs (i.e., balanced incomplete block designs) and to analyze data from these designs, using aggregate and individual methods such as: difference scores, Louviere, Lings, Islam, Gudergan, & Flynn (2013) ; analytical estimation, Lipovetsky & Conklin (2014) ; empirical Bayes, Lipovetsky & Conklin (2015) ; Elo, Hollis (2018) ; and network-based measures.

Multiple Assemblage Dissimilarity for Orders q = 0-N

Calculate multiple or pairwise dissimilarity for orders q = 0-N (CqN; Chao et al. 2008 ) for a set of species assemblages or interaction networks.

Generate Bootstrap Prediction Intervals from a 'tidymodels' Workflow

Provides functions for generating bootstrap prediction intervals from a 'tidymodels' workflow. 'tidymodels' < https://www.tidymodels.org/> is a collection of packages for modeling and machine learning using 'tidyverse' < https://www.tidyverse.org/> principles. This package is not affiliated with or maintained by 'RStudio' or the 'tidymodels' maintainers.