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")
R: All possible 2x3 tables This function returns nx6 matrix;...
my.Cochran.Armitage.trend.exact.2x3R Documentation
R: All possible 2x3 tables This function returns nx6 matrix;...
my.Cochran.Armitage.trend.exact.2x3R Documentation
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
Package: danbi
Type: Package
Title: Favoriate R Functions for <https://sites.google.com/view/jpark-tamu/>
Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper
#' All possible 2x3 tables
#' This function returns nx6 matrix; each row has 6 elements of 2x3 table
#' sharing
Selatan
Bawang MerahPrice of shallots in Kalimantan Selatan
Bawang Merah Ukuran SedangPrice of medium shallots
:9780429956508).
Depends:
R (>= 3.5.0)
#' All possible 2x3 tables
#' This function returns nx6 matrix; each row has 6 elements of 2x3 table
#' sharing
of shallots in Sulawesi Selatan
Bawang Merah Ukuran SedangPrice of medium shallots in Sulawesi Selatan
Bawang PutihPrice
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