WA: Weighted averaging (WA) regression and calibration
R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
of Washington.
Usage
data("WA")
and classicial
deshrinking are supported.
Usage
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
(class = `sf`)
#' @rdname wa-counties-boundaries
#' @export
-wa/etlTurtleNesting
BugReports: https://github.com/dbca-wa/etlTurtleNesting/issues
License: MIT + file LICENSE
of garlic in Kalimantan Timur
Bawang Putih Ukuran SedangPrice of medium garlic in Kalimantan Timur
Cabai MerahPrice of red
, https://github.com/dbca-wa/rOzCBI, https://dbca-wa.github.io/rOzCBI/
BugReports: https://github.com/dbca-wa/rOzCBI
License: MIT + file LICENSE
URL: https://github.com/dbca-wa/turtleviewer2
BugReports: https://github.com/dbca-wa
in Jawa Timur
Bawang Putih Ukuran SedangPrice of medium garlic in Jawa Timur
Cabai MerahPrice of red chili in Jawa Timur
PutihPrice of garlic in DKI Jakarta
Bawang Putih Ukuran SedangPrice of medium garlic in DKI Jakarta
Cabai MerahPrice
) <- "WA"
return(out)
} ## }}}
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