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: LA
Type: Package
Title: Lioness Algorithm (LA)
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
(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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