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: WPC
Type: Package
Title: Weighted Predictiveness Curve
Package: dumas
Title: The Personal R Package of Jasmine Dumas
Version: 1.2.0
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
R: Implement Weighted Predictiveness Curve to Visualize the...
WPC-packageR Documentation
Implement Weighted
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
, 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
R: Food Prices in DI Yogyakarta
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
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