Cargando…
RLadyBug—An R package for stochastic epidemic models
RLadyBug is an S4 package for the simulation, visualization and estimation of stochastic epidemic models in R. Maximum likelihood and Bayesian inference can be performed to estimate the parameters in a susceptible-exposed-infectious-recovered (SEIR) model, which is a stochastic model for describing...
Autores principales: | Höhle, Michael, Feldmann, Ulrike |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114252/ https://www.ncbi.nlm.nih.gov/pubmed/32287569 http://dx.doi.org/10.1016/j.csda.2006.11.016 |
Ejemplares similares
-
TreeBUGS: An R package for hierarchical multinomial-processing-tree modeling
por: Heck, Daniel W., et al.
Publicado: (2017) -
stpm: an R package for stochastic process model
por: Zhbannikov, Ilya Y., et al.
Publicado: (2017) -
The Other Obesity Epidemic—Of Drugs and Bugs
por: Sfera, Adonis, et al.
Publicado: (2020) -
Stochastic epidemic models with inference
por: Britton, Tom, et al.
Publicado: (2019) -
CellTrans: An R Package to Quantify Stochastic Cell State Transitions
por: Buder, Thomas, et al.
Publicado: (2017)