Title: Working with netCDF for Essential Biodiversity Variables
Author: Luise Quoss [aut, cre] (<https://orcid.org/0000-0002-9910-1252>),
Henrique Miguel Pereira [aut] (<https://orcid.org/0000-0003-1043-1675>)
Description: The concept of Essential Biodiversity Variables (EBV) comes with a
data structure based on the Network Common Data Form (netCDF).
The 'ebvcube' 'R' package provides functionality to easily create, access and
visualise this data. The EBV netCDFs can be downloaded from the EBV Data
Portal: Christian Langer/ iDiv (2020) <https://portal.geobon.org/>.
Imports: checkmate, curl, DelayedArray, ggplot2, HDF5Array, jsonlite,
memuse, methods, ncdf4, ncmeta, reshape2, rhdf5, stringr,

Title: An Automated Way to Estimate EC50 for Stratified Datasets
Maintainer: Kaique dos S. Alves <kaiquedsalves@gmail.com>
Description: An implementation for estimating Effective control to 50% of growth
inhibition (EC50) for multi isolates and stratified datasets. It implements
functions from the drc package in a way that is displayed a tidy data.frame
as output. Info about the drc package is available in Ritz C, Baty F, Streibig JC,
Imports: dplyr, tidyr, tibble, magrittr, drc
Suggests: knitr, rmarkdown, ggplot2, ggridges, cowplot

Title: Excess Certainty Adjusted Probability Estimate
Author: Bradley Rava, Peter Radchenko, and Gareth M. James
Description: Implements the Excess Certainty Adjusted Probability adjustment procedure as described in the paper "Irrational Exuberance: Correcting Bias in Probability Estimates" by Gareth James, Peter Radchenko, and Bradley Rava (Journal of the American Statistical Association, 2020;  <arXiv:1910.13570>). The package includes a function that preforms the ECAP adjustment and a function that estimates the parameters needed for implementing ECAP. For testing and reproducibility, the ESPN and FiveThirtyEight data used in the paper are also included.
Packaged: 2020-06-26 15:37:17 UTC; bradleyrava

Packaged: 2020-07-07 00:51:22 UTC; bradleyrava

Description: Implements the Excess Certainty Adjusted Probability adjustment procedure as described in the paper "Irrational Exuberance: Correcting Bias in Probability Estimates" by Gareth James, Peter Radchenko, and Bradley Rava (Journal of the American Statistical Association, 2020;  <doi:10.1080/01621459.2020.1787175>). The package includes a function that preforms the ECAP adjustment and a function that estimates the parameters needed for implementing ECAP. For testing and reproducibility, the ESPN and FiveThirtyEight data used in the paper are also included.
Packaged: 2020-07-23 04:26:39 UTC; bradleyrava