c(person("Christoph", "v. Redwitz", role = c("aut", "cre"),
email = "christoph.redwitz@posteo.de"), person("Friederike", "de Mol", role = "aut", email = "friederike.de-mol@uni-rostock.de"))
An environment to simulate the development of annual plant populations with regard to population dynamics and genetics, especially herbicide resistance. It combines genetics on the individual level (Renton et al. 2011) with a stochastic development on the population level (Daedlow, 2015).
Renton, M, Diggle, A, Manalil, S and Powles, S (2011) <doi:10.1016/j.jtbi.2011.05.010>
Daedlow, Daniel (2015, doctoral dissertation: University of Rostock, Faculty of Agriculture and Environmental Sciences.)
Christoph v. Redwitz [aut, cre],
Friederike de Mol [aut]

PROTOLIDAR package contains functions for analyze the
LIDAR scan of plants (grapevine) and make 3D maps in GRASS GIS.

Patient Reported Outcomes Regression Analysis
Josu Najera <jnajera@bcamath.org>, Dae-Jin Lee <dlee@bcamath.org>, Inmaculada Arostegui <inmaculada.arostegui@ehu.es>
Offers a variety of tools, such as specific plots and regression model approaches, for analyzing different patient reported questionnaires. Specially, mixed-effects models based on the beta-binomial distribution are implemented to deal with binomial data with over-dispersion (see Najera-Zuloaga J., Lee D.-J. and Arostegui I. (2017) <doi:10.1177/0962280217690413>).

Josu Najera-Zuloaga <jnajera@deusto.es>, Dae-Jin Lee <dlee@bcamath.org>, Inmaculada Arostegui <inmaculada.arostegui@ehu.eus>

Josu Najera-Zuloaga <josunajera@gmail.com>, Dae-Jin Lee <dlee@bcamath.org>, Inmaculada Arostegui <inmaculada.arostegui@ehu.eus>
Offers a variety of tools, such as specific plots and regression model approaches, for analyzing different patient reported questionnaires. Specially, mixed-effects models based on the beta-binomial distribution are implemented to deal with binomial data with over-dispersion  (see Najera-Zuloaga J., Lee D.-J. and Arostegui I. (2018) <doi:10.1177/0962280217690413>).