person("Carles", "Milà", role = c("aut")),
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; Milà et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>.

Description: The Cochran-Armitage trend test can be applied to a two by k contingency table. The test statistic (Z) and p-value will be reported. A linear trend in the frequencies will be calculated, because the weights (0,1,2) will be used by default.

Description: This function conducts the Cochran-Armitage trend test to a 2 by k contingency table. It will report the test statistic (Z) and p-value.A linear trend in the frequencies will be calculated, because the weights (0,1,2) will be used by default.

Title: Computation of the p-Value for the Exact Conditional
Authors@R: person("Dominic", "Edelmann", email = "dominic.edelmann@dkfz-heidelberg.de",
Description: Provides functions for computing the one-sided p-values of the Cochran-Armitage trend test
statistic for the asymptotic and the exact conditional test. The computation of the p-value for the exact test
is performed using an algorithm following an idea by Mehta, et al. (1992) <doi:10.2307/1390598>.

Title: Chronomics Analysis Toolkit (CAT): Analyze Periodicity
Author: Cathy Lee Gierke, Ruth Helget, Germaine Cornelissen-Guillaume
Maintainer: Cathy Lee Gierke <leegi001@umn.edu>
Imports: MASS, png, rtf, season, magic, stats, graphics, utils,
Description: Performs analysis of sinusoidal rhythms in time series data:  actogram, smoothing, autocorrelation, crosscorrelation, several flavors of cosinor.