pred_rfrk: Kriging predictions and SEs for RFRK model

In ericwfox/slmrf:

Kriging predictions and SEs for RFRK model

Description

Evaluate kriging predictions and standard errors for random forest regression kriging model

Usage

pred_rfrk(rf, rfrk, obsv_coord, pred_coord, Xp, row_names = NULL,
  computeSE = T, scale = 1)

Arguments

rf	object of class 'randomForest'
rfrk	object of class 'rfrk'
obsv_coord	Data frame or matrix with x,y coordinates for observations.
pred_coord	Data frame or matrix with x,y coordinates for predictions.
Xp	matrix of covariates at prediction sites.
row_names	character or numeric vector specify row names for the predictions
computeSE	logical; whether to compute standard errors, default is TRUE
scale	scaling factor for distance matrix. The distance matrix will be divided by this number. Dafault is 1 for no scaling. Useful when converting Alber's coordinates from meters to kilometers; in this case, set scale to 1000.

Value

Matrix with RFRK predictions and SEs.

ericwfox/slmrf documentation built on Feb. 24, 2024, 11:02 p.m.