Description: Functions for Posterior estimates of Accelerated Failure Time(AFT) model with MCMC and Maximum likelihood estimates of AFT model without MCMC for univariate and multivariate analysis in high dimensional gene expression data are available in this 'afthd' package.
AFT model with Bayesian framework for multivariate in high dimensional data has been proposed by Prabhash et al.(2016)

Title: Model Diagnostics for Accelerated Failure Time Models
Authors@R: c(person("WooJung", "Bae", email = "matt.woojung@gmail.com", role = c("aut", "cre")),
person("Dongrak", "Choi", role = "aut"),
person("Sangwook", "Kang", role = "aut"))
Description: A collection of model checking methods for semiparametric accelerated failure time (AFT) models under the rank-based approach. For the (computational) efficiency, Gehan's weight is used. It provides functions to verify whether the observed data fit the specific model assumptions such as a functional form of each covariate, a link function, and an omnibus test. The p-value offered in this package is based on the Kolmogorov-type supremum test and the variance of the proposed test statistics is estimated through the re-sampling method. Furthermore, a graphical technique to compare the shape of the observed residual to a number of the approximated realizations is provided.
Imports: Rcpp, survival, aftgee, ggplot2, gridExtra
Collate: 'RcppExports.R' 'afttest.R' 'source_r.R' 'afttestplot.R'

Title: Toolbox for Downloading and Extracting Copernicus AgERA5 Data
email = "kaue.desousa@inn.no", role = c("aut"),
person("Jacob", "van Etten", role = c("ths"),
person("Sytze", "de Bruin", role = c("ths"),
Description: Tools for downloading and extracting data from the Copernicus "Agrometeorological indicators
from 1979 to present derived from reanalysis"
Config/reticulate: list( packages = list( list(package = "cdsapi", pip
Author: David Brown [aut, cre] (<https://orcid.org/0000-0003-2859-1618>),

Title: Various Methods for Measuring Agreement.
Description: Plots for visualization and point and interval estimates