
The function print.phenologyout displays the output of a summary(phenology).
# S3 method for phenologyout
print(x, ...)
None
An output generated by plot_phenology
Not used
Marc Girondot
print.phenologyout prints the information from a result x.
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()
,
extract_result()
,
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()
,
remove_site()
,
result_Gratiot
,
result_Gratiot1
,
result_Gratiot2
,
result_Gratiot_Flat
,
result_Gratiot_mcmc
,
summary.phenology()
,
summary.phenologymap()
,
summary.phenologyout()
if (FALSE) {
library(phenology)
# 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)
# Plot the phenology and get some stats
output <- plot(result_Gratiot)
# Show the output
output
}
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