Title: GUTS: Fast Calculation of the Likelihood of a Stochastic
Author: Carlo Albert & Sören Vogel <guts.package@gmail.com>
Maintainer: Carlo Albert & Sören Vogel <guts.package@gmail.com>
Description: GUTS objects contain exposure and survival time series as
well as parameter values, and are able to calculate the
logarithm of the corresponding likelihood.

Description: GUTS objects represent survival models for which the
logarithm of the likelihood can be calculated.

Author: Carlo Albert <carlo.albert@eawag.ch> & Sören Vogel
Description: Given exposure and survival time series as well as
parameter values, GUTS allows for the calculation of the
survival probabilities as well as the logarithm of the

Author: Carlo Albert <carlo.albert@eawag.ch> & Sören Vogel <soeren.vogel@uzh.ch>
Description: Given exposure and survival time series as well as parameter values, GUTS allows for the calculation of the survival probabilities as well as the logarithm of the corresponding likelihood.

Author: Carlo Albert <carlo.albert@eawag.ch> & Sören Vogel <soeren.vogel@posteo.ch>

Title: Fast Calculation of the Likelihood of a Stochastic Survival

Author: Carlo Albert <carlo.albert@eawag.ch> and Sören Vogel <soeren.vogel@posteo.ch>

Description: Given exposure and survival time series as well as parameter values, GUTS allows for the fast calculation of the survival probabilities as well as the logarithm of the corresponding likelihood.

Author: Carlo Albert <carlo.albert@eawag.ch>, Sören Vogel <soeren.vogel@posteo.ch>, Oliver Jakoby <oliver.jakoby@rifcon.de> and Alexander Singer <alexander.singer@rifcon.de>
Suggests: knitr, rmarkdown, adaptMCMC, xlsx, drc

Author: Carlo Albert <carlo.albert@eawag.ch>, Sören Vogel <soeren.vogel@posteo.ch>, Oliver Jakoby <oliver.jakoby@rifcon.de>, Alexander Singer <alexander.singer@rifcon.de> and Dirk Nickisch <dirk.nickisch@rifcon.de>

Suggests: knitr, rmarkdown, adaptMCMC, xlsx, drc, testthat

Description: Given exposure and survival time series as well as parameter values, GUTS allows for the fast calculation of the survival probabilities as well as the logarithm of the corresponding likelihood (see Albert, C., Vogel, S. and Ashauer, R. (2016) <doi:10.1371/journal.pcbi.1004978>).