predict_rf: Runs model random forest object on new data

In lvaudor/woody: Use wood occurrence data and discharge data for wood flux prediction

Runs model random forest object on new data

Description

Runs model random forest object on new data

Usage

predict_rf(newdata, obj_rf, correction = c(1, 0))

Arguments

obj_rf	random forest object
correction	whether to correct covariate shift, in which case two coefficients (alpha,beta) should be provided. Defaults to (1,0) i.e. no correction.
data	data with variables Q, rT_Q, S

Value

Wdata completed with column Ypred (log of hourly flux) and Npred (hourly flux)

lvaudor/woody documentation built on March 22, 2022, 9:53 a.m.