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
Package: LA
Type: Package
Title: Lioness Algorithm (LA)
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
(la)
Format
A data frame with 251 observations on the following 4 variables.
R: Function to calculate LA estimate
LA-methodsR Documentation
Function to calculate LA estimate
Package: LAS
Type: Package
Title: Find LA-scouting genes
Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper
(la)
Format
A data frame with 251 observations on the following 4 variables.
R: An S4 class to represent a .las or .laz file
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
Package: LAS
Type: Package
Title: Find LA-scouting genes
(class = `sf`)
#' @rdname wa-counties-boundaries
#' @export
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