WA: Weighted averaging (WA) regression and calibration
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
method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns
R: vendor
vendorR Documentation
vendor
R: Retrieves the set of all vendors available.
vendorsR Documentation
Retrieves the set of all vendors available
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
R: Vendor the cpp4r and armadillo4r headers
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: Vendor renv in an R package
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
mod <- wa(SumSST ~., data = ImbrieKipp)
## extract the fitted values
fitted(mod)
of Washington.
Usage
data("WA")
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
Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102
Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper
Package: sets
Version: 1.0-25
Title: Sets, Generalized Sets, Customizable Sets and Intervals
vendors.
Usage
data(VENDOR)
R: Set
SetR Documentation
Set
R: sets
setsR Documentation
sets
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