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
in Imai and Li (2019).
Usage
PAPE(T, That, Y, budget = NA, centered = TRUE)
in Imai and Li (2019).
Usage
PAPE(T, That, Y, budget = NA, centered = TRUE)
in Imai and Li (2019).
Usage
PAPE(T, That, Y, plim = NA)
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")
R: Pasang paket tercadangkan
pasang_paket_tercadangkanR Documentation
Pasang paket tercadangkan
solution
Description
Extracts the weighted averages of a CCA solution
of Washington.
Usage
data("WA")
, 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
-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
(class = `sf`)
#' @rdname wa-counties-boundaries
#' @export
License: MIT + file LICENSE
URL: https://github.com/dbca-wa/turtleviewer2
BugReports: https://github.com/dbca-wa
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