methods, rstan (>= 2.18.1), Rcpp (>= 0.12.0), RcppParallel (>=
5.0.1), rstantools (>= 2.1.1), sn, shiny, ggplot2
rmarkdown, knitr, tidySEM, mice, testthat (>= 3.0.0)

c(
person(c("Caspar", "J"),
"van Lissa",
role = c("aut", "cre"),
email = "c.j.vanlissa@tilburguniversity.edu",
comment = c(ORCID = "0000-0002-0808-5024")),
person(c("Sara", "J"), "van Erp", role = c("aut"))
)
rmarkdown, knitr, mice, testthat (>= 3.0.0)
Caspar J van Lissa <c.j.vanlissa@tilburguniversity.edu>

Portable Emissions (and Other Mobile) Measurement System
Utilities
methods, utils, grid, RColorBrewer, latticeExtra, ggplot2,
plyr
Utility functions for the handling, analysis and visualisation
of data from portable emissions measurement systems ('PEMS') and other
similar mobile activity monitoring devices. The package includes a dedicated
'pems' data class that manages many of the quality control, unit handling
and data archiving issues that can hinder efforts to standardise 'PEMS'
research.

c(
person("Karl", "Ropkins", email="karl.ropkins@gmail.com",
role= c("aut", "cre")),
person("Adrian", "Felipe Ortega Calle", role = "ctb")
)
Karl Ropkins [aut, cre],
Adrian Felipe Ortega Calle [ctb]
methods, utils, grid, RColorBrewer, latticeExtra, baseline,
ggplot2, rlang, dplyr, Rcpp (>= 0.12.19)

Fit the Regularized Gehan Estimator with Elastic Net and Sparse
Group Lasso Penalties
c(person("Aaron J.", "Molstad", email = "amolstad@ufl.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0645-5105")), person("Piotr M.", "Suder", role = "aut"))
The semiparametric accelerated failure time (AFT) model is an attractive alternative to the Cox proportional hazards model. This package provides a suite of functions for fitting one popular estimator of the semiparametric AFT model, the regularized Gehan estimator. Specifically, we provide functions for cross-validation, prediction, coefficient extraction, and visualizing both trace plots and cross-validation curves. For further details, please see Suder, P. M. and Molstad, A. J., (2022+) Scalable algorithms for semiparametric accelerated failure time models in high dimensions, to appear in Statistics in Medicine <doi:10.1002/sim.9264>.
Aaron J. Molstad [aut, cre] (<https://orcid.org/0000-0003-0645-5105>),
Piotr M. Suder [aut]