Description: Tools to using fonts other than the standard PostScript
fonts.  This package makes it easy to use system TrueType fonts
and with PDF or PostScript output files, and with bitmap output
files in Windows. extrafont can also be used with fonts
packaged specifically to be used with, such as the fontcm
package, which has Computer Modern PostScript fonts with math
symbols. See https://github.com/wch/extrafont for instructions
Collate: 'load.r' 'truetype.r' 'utils.r' 'extrafont.r' 'type1.r'

Imports: extrafontdb, grDevices, utils, Rttf2pt1
Collate: 'aaa.r' 'load.r' 'truetype.r' 'utils.r' 'extrafont.r'
'type1.r' 'afm.r' 'font.r' 'fonttable.r' 'choosefont.r'

Description: Tools to using fonts other than the standard PostScript fonts.
This package makes it easy to use system TrueType fonts and with PDF or
PostScript output files, and with bitmap output files in Windows. extrafont
can also be used with fonts packaged specifically to be used with, such as
the fontcm package, which has Computer Modern PostScript fonts with math
symbols. See https://github.com/wch/extrafont for instructions and

and with PDF or PostScript output files. It can also be used
with fonts packaged specifically to be used with it, such as
the fontcm package, which has Computer Modern PostScript fonts
with math symbols.  See https://github.com/wch/extrafont for

Title: Package for holding the database for the extrafont package
Description: Package for holding the database for the extrafont package

Title: Estimation and Additional Tools for Alternative Multivariate
Authors@R: c(person("Diego", "Gallardo", role = c("aut","cre"), email = "diego.gallardo@uda.cl"),
person("Marcelo", "Bourguignon", role = "aut", email = "m.p.bourguignon@gmail.com"))
Description: Provide estimation and data generation tools for some new multivariate frailty models.
This initial version includes only the weighted Lindley as the distribution for the frailty terms.
For the basal model, it is considered a parametric approach based on the Weibull distribution
and a semiparametric approach. For details, see Gallardo and Bourguignon (2022)