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Progress model fitting
fit.Rd
Fit the model of interest. The model is fitted on the model
and data
already inside the object
, unless extra arguments are provided, in which
case the model is first updated and then fitted.
Usage
fit(object, ...)
# S4 method for ProgressModelList
fit(object, ...)
# S4 method for ProgressBM
fit(object, ...)
# S4 method for ProgressBMM
fit(object, ...)
# S4 method for ProgressCLM
fit(object, ...)
# S4 method for ProgressCLMM
fit(object, ...)
# S4 method for ProgressSRF
fit(object, ...)
# S4 method for ProgressMRF
fit(object, ...)
Arguments
- object
an object of class
ProgressModel
orProgressModelList
.- ...
extra arguments passed to
update()
.
Examples
if (FALSE) {
# Create a Region object
library(cronus)
region <- Region(name = "nebraska", type = "us state",
div = c(country = "United States", state = "Nebraska"))
# Create a model
object1 <- new("ProgressBM",
region = region,
crop = "Corn",
data = data_progress$Corn,
formula = "CumPercentage ~ Time + agdd") # ProgressModel
# Create another model
object2 <- new("ProgressCLM",
region = region,
crop = "Soybeans",
data = data_progress$Soybeans,
formula = "Stage ~ Time + agdd + adayl") # ProgressModel
# Concatenate the models
object <- c(object1, object2) # ProgressModelList
# Fit
object <- fit(object)
# Plot
plot(object, cumulative = TRUE, seasons = 2002)
# Predict
predict(object, data_progress)
# Evaluate
object <- evaluate(object, maxsam = 100, seed = 1)
plot_metrics(object)
# Summarize
summary(object)
# Report
report(object, name = "example_report", path = getwd())
}