dbplyr, testthat, knitr, rmarkdown, nycflights13, RSQLite,
methods, DBI, dbplot, covr

dplyr(>= 0.7), rlang, purrr, tibble, progress, ggplot2
dbplyr, testthat, knitr, rmarkdown, nycflights13, RSQLite,
methods, DBI, covr

dplyr(>= 0.7), rlang, purrr, tibble, progress, ggplot2,
tidypredict
dbplyr, testthat (>= 2.1.0), knitr, rmarkdown, nycflights13,
RSQLite, methods, DBI, covr

person("Max", "Kuhn", email = "max@rstudio.com", role = c("aut", "cre"))

person("Max", "Kuhn", , "max@rstudio.com", role = c("aut", "cre"))
Uses 'dplyr' and 'tidyeval' to fit statistical models inside
the database. It currently supports KMeans and linear regression
models.
dplyr(>= 0.7), ggplot2, progress, purrr, rlang, tibble,
tidypredict
covr, DBI, dbplyr, knitr, methods, nycflights13, rmarkdown,
RSQLite, testthat (>= 2.1.0)

Provide Tools to Register Models for Use in 'tidymodels'
person("Emil", "Hvitfeldt", , "emilhhvitfeldt@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-0679-1945"))
An developer focused, low dependency package in 'tidymodels' that
provides functions to register how models are to be used. Functions to
register models are complimented with accessor functions to retrieve
registered model information to aid in model fitting and error handling.

Model-free estimation of a psychometric function
Ivan Marin-Franch <imarinfr@indiana.edu>, Kamila Zychaluk <kamila.zychaluk@liverpool.ac.uk>, and David H. Foster <d.h.foster@manchester.ac.uk>
Kamila Zychaluk <kamila.zychaluk@liverpool.ac.uk>, David H.
Foster <d.h.foster@manchester.ac.uk>, Ivan Marin-Franch
<imarinfr@indiana.edu>
R (>= 2.8.1), PolynomF (>= 0.93), SparseM (>= 0.79), stats,
utils, base
Local linear estimation of psychometric functions. Provides functions for nonparametric estimation of a psychometric function and for estimation of a derived threshold and slope, and their standard deviations and confidence intervals

Ivan Marin-Franch <ivan.marin@manchester.ac.uk>, Kamila
Zychaluk <kamila.zychaluk@liverpool.ac.uk>, and David H. Foster
<d.h.foster@manchester.ac.uk>
Kamila Zychaluk <kamila.zychaluk@liverpool.ac.uk>, David H.
Foster <d.h.foster@manchester.ac.uk>
Local linear estimation of psychometric functions.
Provides functions for nonparametric estimation of a
psychometric function and for estimation of a derived threshold
and slope, and their standard deviations and confidence
intervals