assess.parameter.importance: Assess parameter importance
In barnzilla/sweepr: Build Box/Compartment Models Via Excel
Description
Usage
Arguments
Value
Description
Assess parameter importance
Usage
1
assess.parameter.importance(don, X, Y, method)
Arguments
don
a data frame.
X
a numeric vector.
Y
a numeric vector.
method
a character element ("kendall-partial-correlation-slow", "pearson-partial-correlation-fast", #' "pearson-partial-correlation-slow", "spearman-partial-correlation-slow", "negative-log-p-value", "t-test").
Value
a vector.
barnzilla/sweepr documentation built on Oct. 9, 2020, 5:18 a.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.
Description Usage Arguments Value
Description
Assess parameter importance
Usage
1 | assess.parameter.importance(don, X, Y, method)
|
Arguments
don |
a data frame. |
X |
a numeric vector. |
Y |
a numeric vector. |
method |
a character element ("kendall-partial-correlation-slow", "pearson-partial-correlation-fast", #' "pearson-partial-correlation-slow", "spearman-partial-correlation-slow", "negative-log-p-value", "t-test"). |
Value
a vector.
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.