CRAN/E | epifitter

epifitter

Analysis and Simulation of Plant Disease Progress Curves

Installation

About

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.

github.com/AlvesKS/epifitter
Bug report File report

Key Metrics

Version 0.3.0
R ≥ 3.2
Published 2021-06-14 1041 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

Kaique dos S. Alves

kaiquedsalves@gmail.com

Authors

Kaique dos S. Alves

aut / cre

Emerson M. Del Ponte

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Fitting and selecting models
Simulating disease progress curves

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

epifitter archive

Depends

R ≥ 3.2

Imports

deSolve
dplyr
stats
ggplot2
knitr
tidyr
DescTools
minpack.lm
magrittr
tibble

Suggests

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