errors as proposed by Lu and Hardin (2021). This package is compatible
with several existing packages that implement random forests in R.

conditional misclassification rates, conditional mean squared prediction
errors, conditional biases, and conditional quantiles, by out-of-bag
weighting of out-of-bag prediction errors as proposed by Lu and Hardin
(2021). This package is compatible with several existing packages that

Title: Visualizes Random Forests with Feature Contributions
Maintainer: Soeren Havelund Welling <SORHAWELL@GMAIL.COM>
Description: Form visualizations of high dimensional mapping structures of random forests and feature contributions.
SystemRequirements: OpenGL, GLU Library, zlib
Imports: Rcpp (>= 0.11.3), rgl, kknn, randomForest

Maintainer: Soeren Havelund Welling <SOWE@DTU.DK>
Description: Enables user to form appropriate visualization of high dimensional mapping curvature of random forests.
Imports: Rcpp (>= 0.11.6), randomForest, rgl, kknn, trimTrees

Description: Enables users to form appropriate visualizations of high dimensional mapping curvatures of random forests.
Imports: Rcpp (>= 0.11.3), rgl, kknn, trimTrees
Packaged: 2015-06-29 22:25:27 UTC; sorhawell

Imports: Rcpp (>= 0.11.3), rgl, kknn, ggplot2, gridExtra
Packaged: 2015-08-02 21:09:58 UTC; sorhawell

Packaged: 2015-08-12 13:59:59 UTC; sorhawell

Packaged: 2015-08-12 21:48:34 UTC; sorhawell

Suggests: randomForest, trimTrees, utils, rfPermute
Packaged: 2015-11-02 07:59:13 UTC; sorhawell

Packaged: 2015-11-28 22:25:09 UTC; sorhawell

Suggests: randomForest, utils, devtools, tools
Description: Enables users to form appropriate visualizations of high dimensional mapping structures of random forests.
Packaged: 2016-01-03 13:55:50 UTC; sorhawell

Title: Forest Health Evaluation System at the Forest Stand Level in
Description: Assessing forest ecosystem health is an effective way for forest
resource management.The national forest health evaluation system at the forest
stand level using analytic hierarchy process, has a high application value
and practical significance. The package can effectively and easily realize the
total assessment process, and help foresters to further assess and management