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: 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")
solution
Description
Extracts the weighted averages of a CCA solution
, 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: Set observation designs for the simulation
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
per choice set.
clustered
Determines the way the data is represented in the experimental design table.
of alternative per choice set.
clustered
Determines the way the data is represented in the experimental design table.
Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102
R: Design
designR Documentation
Design
R: design
designR Documentation
design
R: Design
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: Design
designR Documentation
Design
R: designer: Design tools for R users.
designerR Documentation
designer: Design tools for R users.
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