make_basic_unit_level <- function() {
parsnip::set_new_model("basic_unit_level")
parsnip::set_model_mode(model = "basic_unit_level", mode = "regression")
# ----------------------------------------------------------------------------
parsnip::set_model_engine(
"basic_unit_level",
mode = "regression",
eng = "sae"
)
parsnip::set_model_engine(
"basic_unit_level",
mode = "regression",
eng = "hbsae"
)
parsnip::set_model_engine(
"basic_unit_level",
mode = "regression",
eng = "mcmcsae"
)
parsnip::set_dependency("basic_unit_level", eng = "sae", pkg = "sae")
parsnip::set_dependency("basic_unit_level", eng = "hbsae", pkg = "hbsae")
parsnip::set_dependency("basic_unit_level", eng = "mcmcsae", pkg = "mcmcsae")
parsnip::set_model_arg(
model = "basic_unit_level",
eng = "sae",
parsnip = "small_areas",
original = "dom",
func = list(pkg = "base", fun = "factor"),
has_submodel = FALSE
)
parsnip::set_model_arg(
model = "basic_unit_level",
eng = "sae",
parsnip = "explanatory_means",
original = "meanxpop",
func = list(pkg = "base", fun = "mean"),
has_submodel = FALSE
)
parsnip::set_model_arg(
model = "basic_unit_level",
eng = "sae",
parsnip = "small_area_size",
original = "popnsize",
func = list(pkg = "base", fun = "sum"),
has_submodel = FALSE
)
parsnip::set_model_arg(
model = "basic_unit_level",
eng = "hbsae",
parsnip = "small_areas",
original = "area",
func = list(pkg = "base", fun = "factor"),
has_submodel = FALSE
)
parsnip::set_model_arg(
model = "basic_unit_level",
eng = "mcmcsae",
parsnip = "small_areas",
original = "factor",
func = list(pkg = "base", fun = "factor"),
has_submodel = FALSE
)
parsnip::set_fit(
model = "basic_unit_level",
mode = "regression",
eng = "sae",
value = list(
interface = "formula",
protect = c("formula", "data"),
func = c(pkg = "sae", fun = "eblupBHF"),
defaults = list()
)
)
}
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