epifitter: Analysis and Simulation of Plant Disease Progress Curves
Analysis and visualization of plant disease progress curve data. Functions for fitting two-parameter population dynamics models (exponential, monomolecular, logistic and Gompertz) to proportion data for single or multiple epidemics using either linear or no-linear regression. Statistical and visual outputs are provided to aid in model selection. Synthetic curves can be simulated for any of the models given the parameters. See Laurence V. Madden, Gareth Hughes, and Frank van den Bosch (2007) <doi:10.1094/9780890545058> for further information on the methods.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.2) |
| Imports: | deSolve, dplyr, stats, ggplot2, knitr, tidyr, DescTools, minpack.lm, magrittr, tibble |
| Suggests: | rmarkdown, ggridges, cowplot |
| Published: | 2021-06-14 |
| Author: | Kaique dos S. Alves
 [aut, cre],
Emerson M. Del Ponte
[aut] |
| Maintainer: | Kaique dos S. Alves <kaiquedsalves at gmail.com> |
| BugReports: | https://github.com/AlvesKS/epifitter/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/AlvesKS/epifitter |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | epifitter results |
Documentation:
| Reference manual: | epifitter.pdf |
| Vignettes: |
Fitting and selecting models Simulating disease progress curves |
Downloads:
| Package source: | epifitter_0.3.0.tar.gz |
| Windows binaries: | r-devel: epifitter_0.3.0.zip, r-release: epifitter_0.3.0.zip, r-oldrel: epifitter_0.3.0.zip |
| macOS binaries: | r-release (arm64): epifitter_0.3.0.tgz, r-oldrel (arm64): epifitter_0.3.0.tgz, r-release (x86_64): epifitter_0.3.0.tgz, r-oldrel (x86_64): epifitter_0.3.0.tgz |
| Old sources: | epifitter archive |
Linking:
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