R: Apply Guidelines for Reporting About Network Data (GRAND) to...
grandR Documentation
Apply Guidelines
method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns
method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
Package: grand
Title: Guidelines for Reporting About Network Data
Version: 0.9.0
Package: kitchen
Type: Package
Title: Convolutional Kitchen Sinks in R
of Washington.
Usage
data("WA")
mod <- wa(SumSST ~., data = ImbrieKipp)
## extract the fitted values
fitted(mod)
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
R: Icon
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: Icon
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
solution
Description
Extracts the weighted averages of a CCA solution
R: icon
iconR Documentation
icon
R: Icon
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: Icons.
iconsR Documentation
Icons.
, i.e. a bootstrap procedure is implemented to perform the test, see crit.values.
Usage
WA(data, k_estimator)
of a CCA solution
Description
Extracts the weighted averages of a CCA solution
R: Create an icon
iconR Documentation
Create an icon
R: Create an icon
iconR Documentation
Create an icon
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