#^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
#
# Weeks 1979 Vadose Zone Model -------------------------------------------------
#
#^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
StepVadoseWeeks <- R6Class(
classname = "step_vadose_weeks",
inherit = Step,
public = list(
# step specific variables
time = NULL,
air_diffusivity = NULL,
thickness = NULL,
precision = NULL,
inverse = NULL,
initialize = function(time,
air_diffusivity = 0.2,
thickness = 40.0,
precision = 1e-12,
inverse = FALSE,
role = "predictor",
...) {
# get function parameters to pass to parent
time <- deparse(substitute(time))
env_list <- get_function_arguments()
env_list$step_name <- "step_vadose_weeks"
env_list$type <- "add"
super$initialize(
terms = c(as.symbol(time)),
env_list,
...
)
# step specific values
self$time <- time
self$air_diffusivity <- air_diffusivity
self$thickness <- thickness
self$precision <- precision
self$inverse <- inverse
self$columns <- time
invisible(self)
},
bake = function(new_data) {
vr <- vadose_response(
new_data[[1L]],
self$air_diffusivity,
self$thickness,
self$precision,
self$inverse
)
self$new_columns <- self$prefix
self$result <- setNames(vr, self$new_columns)
self$result
}
)
)
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