View source: R/extract_result.R
extract_result | R Documentation |
The function "extract_result" permits to extract the set of parameters from a result object obtained after fit_phenology.
extract_result(result = NULL)
result |
A result file |
extract_result get the fitted parameters from a result object.
Return the set of fitted parameters
Marc Girondot
Other Phenology model:
AutoFitPhenology()
,
BE_to_LBLE()
,
Gratiot
,
LBLE_to_BE()
,
LBLE_to_L()
,
L_to_LBLE()
,
MarineTurtles_2002
,
MinBMinE_to_Min()
,
adapt_parameters()
,
add_SE()
,
add_phenology()
,
fit_phenology()
,
likelihood_phenology()
,
logLik.phenology()
,
map_Gratiot
,
map_phenology()
,
par_init()
,
phenology()
,
phenology2fitRMU()
,
phenology_MHmcmc()
,
phenology_MHmcmc_p()
,
plot.phenology()
,
plot.phenologymap()
,
plot_delta()
,
plot_phi()
,
print.phenology()
,
print.phenologymap()
,
print.phenologyout()
,
remove_site()
,
result_Gratiot
,
result_Gratiot1
,
result_Gratiot2
,
result_Gratiot_Flat
,
result_Gratiot_mcmc
,
summary.phenology()
,
summary.phenologymap()
,
summary.phenologyout()
library(phenology)
## Not run:
# Read a file with data
data(Gratiot)
# Generate a formatted list nammed data_Gratiot
data_Gratiot<-add_phenology(Gratiot, name="Complete",
reference=as.Date("2001-01-01"), format="%d/%m/%Y")
# Generate initial points for the optimisation
parg<-par_init(data_Gratiot, fixed.parameters=NULL)
# Run the optimisation
# result_Gratiot<-fit_phenology(data=data_Gratiot, fitted.parameters=parg,
fixed.parameters=NULL)
data(result_Gratiot)
# Extract the fitted parameters
parg1<-extract_result(result_Gratiot)
## End(Not run)
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