importanceScore: importanceScore
In ZijunGao/LinCDE: Conditional Density Estimation via Lindsey's Method and Boosting
importanceScore R Documentation
importanceScore
Description
This function computes the importance scores for a LinCDE boosting model.
Usage
importanceScore(model, d, n.trees = 1, var.names = NULL)
Arguments
model
a LinCDE boosting model.
d
the number of covariates.
n.trees
the number of trees in the LinCDE boosting model.
var.names
vector of variable names.
Value
The function returns a vector of covariate importances.
ZijunGao/LinCDE documentation built on Jan. 2, 2023, 11:14 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| importanceScore | R Documentation |
importanceScore
Description
This function computes the importance scores for a LinCDE boosting model.
Usage
importanceScore(model, d, n.trees = 1, var.names = NULL)
Arguments
model |
a LinCDE boosting model. |
d |
the number of covariates. |
n.trees |
the number of trees in the LinCDE boosting model. |
var.names |
vector of variable names. |
Value
The function returns a vector of covariate importances.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.