'R-bizdays-package.r' 'datasets.R' 'calendar.R'
'adjust.date.R' 'bizdays.options.R' 'bizseq.R' 'is.bizday.R'
'offset.R' 'bizdiff.R' 'bizdays.R' 'create-calendars.R'

RQuantLib, timeDate, knitr, testthat, covr
'R-bizdays-package.r' 'datasets.R' 'calendar.R'
'adjust.date.R' 'bizdays.options.R' 'bizseq.R' 'is.bizday.R'
'offset.R' 'bizdiff.R' 'bizdays.R' 'create-calendars.R'
'calendar-export.R' 'getdate.R'

'R-bizdays-package.r' 'datasets.R' 'calendar.R'
'adjust.date.R' 'bizdays.options.R' 'bizseq.R' 'is.bizday.R'
'offset.R' 'bizdiff.R' 'bizdays.R' 'create-calendars.R'
'calendar-export.R' 'getdate.R' 'getbizdays.R' 'zzz.R'

Bivariate Zero-Inflated Count Models Using Copulas
person("John", "Niehaus", , "jniehaus2257@gmail.com", role = c("aut", "cre"))
Maximum likelihood estimation of copula-based zero-inflated
(and non-inflated) Poisson and negative binomial count models. Supports Frank
and Gaussian copulas. Allows for mixed margins (e.g., one margin Poisson, the
other zero-inflated negative binomial), and several marginal link functions.
Built-in methods for publication-quality tables using 'texreg', and post-estimation
diagnostics using 'DHARMa'. For information on copula regression for count data,
see Genest and Nešlehová (2007) <doi:10.1017/S0515036100014963> as well as
Nikoloulopoulos (2013) <doi:10.1007/978-3-642-35407-6_11>. For information on zero-inflated
count regression generally, see Lambert (1992) <https:www.jstor.org/stable/1269547?origin=crossref>. The author
acknowledges support by NSF DMS-1925119 and DMS-212324.

Maximum likelihood estimation of copula-based zero-inflated
(and non-inflated) Poisson and negative binomial count models. Supports Frank
and Gaussian copulas. Allows for mixed margins (e.g., one margin Poisson, the
other zero-inflated negative binomial), and several marginal link functions.
Built-in methods for publication-quality tables using 'texreg', post-estimation
diagnostics using 'DHARMa', and testing for marginal zero-modification
via <doi:10.1177/0962280217749991>. For information on copula regression for count data,
see Genest and Nešlehová (2007) <doi:10.1017/S0515036100014963> as well as
Nikoloulopoulos (2013) <doi:10.1007/978-3-642-35407-6_11>. For information on zero-inflated
count regression generally, see Lambert (1992) <https:www.jstor.org/stable/1269547?origin=crossref>. The author
acknowledges support by NSF DMS-1925119 and DMS-212324.