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
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)
R: Popular name in Jakarta
namaR Documentation
Popular name in Jakarta
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)
R: Food Prices in DKI Jakarta
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
of a CCA solution
Description
Extracts the weighted averages of a CCA solution
Package: Rexcelpoi
Version: 1.0.1
Title: Excel Jakarta POI interface
Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102
R: Food Prices in DKI Jakarta
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper
R: Get spatial data frame of Indonesia or Jakarta map
id_mapR Documentation
Get spatial data frame of Indonesia
R: Jakarta Bombing 2009 / Noordin Top (dataset)
Jakarta_bombingR Documentation
Jakarta Bombing 2009 / Noordin Top
Package: sets
Version: 1.0-25
Title: Sets, Generalized Sets, Customizable Sets and Intervals
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