cli, crayon (>= 1.3.4), ellipsis, fansi, lifecycle, rlang (>=
0.3.0), utf8 (>= 1.1.0), utils, vctrs (>= 0.2.0)
bit64, debugme, DiagrammeR, knitr, lubridate, nycflights13,
rmarkdown, survival, testthat (>= 3.0.2), tibble, withr
format_multi_fuzz, format_multi_fuzz_2,
format_multi, ctl_colonnade, ctl_colonnade_1, ctl_colonnade_2

bit64, debugme, DiagrammeR, knitr, lubridate, nycflights13,
palmerpenguins, rmarkdown, survival, testthat (>= 3.0.2),
tibble, withr

bit64, debugme, DiagrammeR, dplyr, ggplot2, knitr, lubridate,
nycflights13, palmerpenguins, rmarkdown, scales, stringi,
survival, testthat (>= 3.0.2), tibble, withr

bit64, debugme, DiagrammeR, dplyr, formattable, ggplot2,
knitr, lubridate, nycflights13, palmerpenguins, rmarkdown,
scales, stringi, survival, testthat (>= 3.0.2), tibble, units,
withr

bit64, debugme, DiagrammeR, dplyr, formattable, ggplot2,
knitr, lubridate, nycflights13, palmerpenguins, rmarkdown,
scales, stringi, survival, testthat (>= 3.0.2), tibble, units
(>= 0.7.2), withr

bit64, debugme, DiagrammeR, dplyr, formattable, ggplot2,
knitr, lubridate, nanotime, nycflights13, palmerpenguins,
rmarkdown, scales, stringi, survival, testthat (>= 3.1.1),
tibble, units (>= 0.7.2), vdiffr, withr

c(person(given = "Kirill",
family = "M\u00fcller",
role = c("aut", "cre"),
email = "kirill@cynkra.com",
comment = c(ORCID = "0000-0002-1416-3412")),
person(given = "Hadley",
family = "Wickham",
role = "aut"),
person(given = "RStudio",
role = "cph"))
Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>),
Hadley Wickham [aut],
RStudio [cph]

c(person("Joris","Meys", email = "Joris.Meys@UGent.be", role = c('aut', 'cre')),person("Jan","De Neve", email = "Jan.DeNeve@UGent.be", role = 'aut'), person("Nick","Sabbe", role = 'aut'))
Joris Meys [aut, cre], Jan De Neve [aut], Nick Sabbe [aut]
Fit a probabilistic index model as described in
Thas et al <doi:10.1111/j.1467-9868.2011.01020.x>. The interface to the
modeling function has changed in this new version. The old version is
still available at R-Forge. You can install the old package
using install.packages('pimold', repos = 'http://R-Forge.R-project.org').
'CreateScoreFun.R' 'DysData.R' 'EngelData.R' 'Estimators.R'
'pim.poset-class.R' 'pim.environment-class.R' 'pim-package.R'
'pim.formula-class.R' 'pim-class.R' 'pim.summary-class.R'
'Extract.pim.summary.R' 'FEVData.R' 'Getters.R' 'Getters_pim.R'
'Getters_pim.formula.R' 'InternalFunctions.R'
'InternalObjects.R' 'LR.R' 'MHData.R' 'P.R' 'SUData.R'
'add.poset.R' 'as.data.frame.pim.environment.R'
'as.matrix.pim.summary.R' 'coef.R' 'confint.pim.R'
'create.poset.R' 'formula.R' 'has.intercept.R' 'is.complete.R'
'make.posfun.R' 'model.matrix.pim.R' 'new.pim.R'
'new.pim.env.R' 'new.pim.formula.R' 'new.pim.poset.R' 'nobs.R'
'penv.R' 'pim.R' 'pim.fit.R' 'pimdata.R' 'poset.R' 'print.R'
'response.R' 'sandwich.estimator.R' 'summary.R' 'vcov.R'
'vcov.estimators.R' 'vcov.internal.R' 'zzz.R'