Author: Lawrence Hudson with contributions from Dan Reuman and Rob Emerson
Description: Cheddar provides a flexible, extendable representation of an ecological community and a range of functions for analysis and visualisation, focusing on food web, body mass and numerical abundance data. It also allows inter-web comparisons such as examining changes in community structure over environmental, temporal or spatial gradients.

Title: Analysis and Visualisation of Ecological Communities
Description: Provides a flexible, extendable representation of an ecological community and a range of functions for analysis and visualisation, focusing on food web, body mass and numerical abundance data. Allows inter-web comparisons such as examining changes in community structure over environmental, temporal or spatial gradients.

Title: Interactively Explore the Support of Local Explanations with the
person("Nicholas", "Spyrison", role = c("aut", "cre"),
Description: Given a tree-based model, calculate the tree SHAP
local explanation of every observation. View the data space, explanation
space, and residual plot as ensemble graphic interactive on a shiny
application. After an observation of interest is identified, the normalized
variable importance of the local explanation is used as a 1D projection
basis. The support of the local explanation is then explored by changing
the basis with the use of the radial tour <doi:10.32614/RJ-2020-027>;
Imports: Rcpp, data.table, spinifex (>= 0.3.3), ggplot2, plotly,
magrittr, shiny, shinythemes, shinycssloaders, DT
Suggests: gbm, lightgbm, randomForest, ranger, xgboost, tourr, lqmm,
mvtnorm, gganimate, dplyr, tidyr, tictoc, beepr, knitr,
testthat (>= 3.0.0), spelling, rmarkdown
Author: Nicholas Spyrison [aut, cre] (<https://orcid.org/0000-0002-8417-0212>)

Title: Tools for Intuitive and Flexible Statistical Analysis Workflows
Authors@R: person(given = "Alex", family = "Zajichek", email = "alexzajichek@gmail.com", role = c("aut", "cre"))
Description: Contains flexible and intuitive functions to assist in carrying out tasks in a statistical analysis and to get from the raw data to presentation-ready results. A user-friendly interface is used in specialized functions that are aimed at common tasks such as building a univariate descriptive table for variables in a dataset. These high-level functions are built on a collection of low(er)-level functions that may be useful for aspects of a custom statistical analysis workflow or for general programming use.
Suggests: rmarkdown (>= 1.10), tidyverse (>= 1.2.1)
Packaged: 2019-03-29 17:07:03 UTC; alexzajichek