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,
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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