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epifitter
View on CRAN: Click
here
Download and install epifitter package within the R console
Install from CRAN:
install.packages("epifitter")
Install from Github:
library("remotes")
install_github("cran/epifitter") Install by package version:
library("remotes")
install_version("epifitter", "0.3.0") Attach the package and use:
library("epifitter")
Maintained by
Kaique dos S. Alves
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-29
Latest Update: 2021-06-14
Description:
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)
for further information on the methods.
How to cite:
Kaique dos S. Alves (2020). epifitter: Analysis and Simulation of Plant Disease Progress Curves. R package version 0.3.0, https://cran.r-project.org/web/packages/epifitter. Accessed 18 Sep. 2026.
Previous versions and publish date:
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View epifitter citation profile
Other R packages that epifitter depends,
imports, suggests or enhances
Complete documentation for epifitter
Functions, R codes and Examples using
the epifitter R package
Some associated functions: AUDPC . AUDPS . PowderyMildew . expo_fun . fit_lin . fit_multi . fit_nlin . fit_nlin2 . gompi_fun . logi_fun . mono_fun . plot_fit . print.fit_lin . print.fit_nlin2 . sim_exponential . sim_gompertz . sim_logistic . sim_monomolecular .
Some associated R codes: AUDPC.R . AUDPS.R . expo_fun.R . fit_lin.R . fit_multi.R . fit_nlin.R . fit_nlin2.R . gompi_fun.R . logi_fun.R . mono_fun.R . plot_fit.R . print.fit_lin.R . print.fit_nlin2.R . sim_exponential.R . sim_gompertz.R . sim_logistic.R . sim_monomolecular.R . Full epifitter package functions and examples
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