View source: R/AutoFitPhenology.R
AutoFitPhenology | R Documentation |
This function is used to test several combinations of fit at a time.
AutoFitPhenology(
data = stop("A dataset must be provided"),
progressbar = TRUE,
...
)
data |
Dataset generated with add_phenology() |
progressbar |
If FALSE, do not show the progress bar |
... |
Parameters for fit_phenology() |
AutoFitPhenology runs fit for phenology and tests several combinations
A list with 12 elements corresponding to the 12 tested models
Marc Girondot
Other Phenology model:
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()
,
print.phenologyout()
,
remove_site()
,
result_Gratiot
,
result_Gratiot1
,
result_Gratiot2
,
result_Gratiot_Flat
,
result_Gratiot_mcmc
,
summary.phenology()
,
summary.phenologymap()
,
summary.phenologyout()
## Not run:
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")
# Run the optimisation
result_Gratiot_Auto <- AutoFitPhenology(data=data_Gratiot)
result_Gratiot_Auto <- AutoFitPhenology(data=data_Gratiot,
control=list(trace=0, REPORT=100, maxit=500))
## End(Not run)
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