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: LaMa
Type: Package
Title: Fast Numerical Maximum Likelihood Estimation for Latent Markov
R: LaMa: Fast Numerical Maximum Likelihood Estimation for Latent...
const macros = { "\\R": "\\textsf{R}", "\\code
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
Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper
Package: Solo
Title: Tabulates Prevalence and Hazard Ratios ("Never Tell me the Odds!")
Version: 0.1.0
Package: locaR
Type: Package
Title: A Set of Tools for Sound Localization
#' @keywords internal
#' @importFrom Rcpp sourceCpp
#' @useDynLib LaMa, .registration=TRUE
(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
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