Brt_LUR: Boost regression trees for LUR (using b)

In mengluchu/APMtools: statistical air pollution mapping tools

Description

Boost regression trees for LUR (using b)

Usage

Brt_LUR(
  variabledf,
  opti = F,
  vis1 = T,
  ntree = 1000,
  interaction.depth = 6,
  bag.fraction = 0.5,
  shrinkage = 0.01,
  y_varname = c("day_value", "night_value", "value_mean"),
  training,
  test,
  grepstring,
  ...
)

Arguments

variabledf	the dataframe containing predictors and dependent variable
y_varname	name of the dependent variable.
training	the index for the rows used for training.
test	the index for the rows used for testing.
grepstring	the variable/column names of predictors in Lasso, grepl stlye, e.g. 'ROAD|pop|temp|wind|Rsp|OMI|eleva|coast'

Value

plot variable importance and an error matrix

mengluchu/APMtools documentation built on Jan. 27, 2022, 2:41 a.m.