assess.parameter.importance: Assess parameter importance
In StatCan/EpiSim: Build multi-compartment models via an Excel workbook
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.
StatCan/EpiSim documentation built on Dec. 18, 2021, 2:09 p.m.
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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.
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