theory based on several entropy estimators.

X-CRAN-Original-Maintainer: Patrick E. Meyer <pmeyer@ulb.ac.be>
X-CRAN-Comment: Orphaned on 2012-12-10 as the orginal maintainer,
Patrick E. Meyer <pmeyer@ulb.ac.be>, is unresponsive.

Description: Implements various measures of information theory based on several entropy estimators.
Maintainer: Patrick E. Meyer <software@meyerp.com>

Description: This package implements various measures of information theory based on several entropy estimators.

Description: Takes a data frame containing latitude and longitude coordinates and downloads images from map servers to determine their file size as a proxy of infrastructure

Description: Facilitates the generation of input files for infraFDTD and processes snapshot output. infraFDTD is a finite-difference model written by Keehoon Kim for simulating infrasound that considers topography and a 1-D atmosphere (see Kim et al., 2015 <doi:10.1002/2015GL064466>).

Description: Replace parameters in strings and/or text files with specified values.

Description: Replace parameters in strings and/or text files with specified

Suggests: testthat, knitr, rmarkdown, dplyr, magrittr

Suggests: testthat, knitr, rmarkdown, dbplyr, magrittr

Description: This light-weight templating package provides flexible and
user-friendly value substitution in string templates or template files

Authors@R: person(given="Kristian", family="Markon", middle="E.", role
= c("aut", "cre"), email = "kristian-markon@uiowa.edu")
Maintainer: Kristian E. Markon <kristian-markon@uiowa.edu>
Description: Calculation of information utility (i.e., Lindley
information) quantities for item response models.

Authors@R: person(given="Kristian", family="Markon", role = c("aut",

Title: Effects and Importances of Model Ingredients
Authors@R: c(person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com",
Description: Collection of tools for assessment of feature importance and feature effects.
feature_importance() for assessment of global level feature importance,
ceteris_paribus() for calculation of the what-if plots,
partial_dependency() for partial dependency plots,
conditional_dependency() for conditional dependency plots,
accumulated_dependency() for accumulated local effects plots,
aggregate_profiles() and cluster_profiles() for aggregation of ceteris paribus profiles,
theme_drwhy() with a 'ggplot2' skin for all plots,
generic print() and plot() for better usability of selected explainers.
The package 'ingredients' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Suggests: gbm, gower, randomForest, titanic, xgboost, testthat, dplyr,