Authors@R: c(person("Emily", "Walker", role = "aut", email = "emily.walker@avignon.inra.fr"),
person("Marc", "Bourotte", role = "ctb", email = "marc.bourotte@paca.inra.fr"))

Description: Extended Susceptible-Exposed-Infected-Recovery Model for
handling high false negative rate and symptom based administration of
person(given = "Ritwik", family = "Bhaduri", role = c("aut"), email = "ritwik.bhaduri@gmail.com"),
person(given = "Ritoban", family = "Kundu", role = c("aut"), email = "ritoban.kundu@gmail.com"),
person(given = "Soumik", family = "Purkayastha", role = c("aut"), email = "soumikp@umich.edu"),
person(given = "Lauren", family = "Beesley", role = c("aut"), email = "lbeesley@umich.edu"),
Imports: dplyr, arm, pbapply, DescTools, patchwork, ggpubr, ggplot2,

person(given = "Michael", family = "Kleinsasser", role = c("cre"), email = "biostat-cran-manager@umich.edu")

Description: This package implements a novel method for transferring
expert statements about an uncertain bounded quantity into a
probability distribution (see Bornkamp and Ickstadt (2009) for
a detailed description).  For this purpose B-splines are used,
and the density is obtained by penalized least squares, where
the penalty encourages to distribute probability mass as
uniformly as possible. The package provides methods for fitting
the expert's distribution as well as methods for evaluating the
underlying density and cdf. In addition methods for plotting
the expert's distribution, drawing random numbers and
calculating quantiles of the expert's distribution are

Description: This package implements a novel method for fitting a
bounded probability distribution to quantiles (for example
stated by an expert), see Bornkamp and Ickstadt (2009) for
details.  For this purpose B-splines are used, and the density
is obtained by penalized least squares based on a Brier entropy
penalty.  The package provides methods for fitting the
distribution as well as methods for evaluating the underlying
density and cdf. In addition methods for plotting the
distribution, drawing random numbers and calculating quantiles
of the obtained distribution are provided.