WA: Weighted averaging (WA) regression and calibration

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

WA: Weighted averaging (WA) regression and calibration

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

WPC: Weighted Predictiveness Curve

Package: WPC
Type: Package
Title: Weighted Predictiveness Curve

kare: Kernel Adaptive Regression Estimator

the obtained results. Summarizing information
and technical details can be found in Eichner (2017).
Usage

kare: Kernel Adaptive Regression Estimator

the obtained results. Summarizing information
and technical details can be found in Eichner (2017).
Usage

WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of

JawaTimur: Food Prices in Jawa Timur

R: Food Prices in Jawa Timur
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

WA: SpatialPolygonsDataFrame for the state of Washington, USA

of Washington.
Usage
data("WA")

wa: Weighted averaging transfer functions

and classicial
deshrinking are supported.
Usage

WA: SpatialPolygonsDataFrame for the state of Washington, USA

of Washington.
Usage
data("WA")

WA: SpatialPolygonsDataFrame for the state of Washington, USA

of Washington.
Usage
data("WA")

wa: Extracts the weighted averages of a CCA solution

solution
Description
Extracts the weighted averages of a CCA solution

WA: statistic of the Watson goodness-of-fit test for the gamma

, i.e. a bootstrap procedure is implemented to perform the test, see crit.values.
Usage
WA(data, k_estimator)

wa: Extracts the weighted averages of a CCA solution

of a CCA solution
Description
Extracts the weighted averages of a CCA solution

dbca-wa/turtleviewer: WA Turtle Data Viewer

Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102

WPC-package: Implement Weighted Predictiveness Curve to Visualize

R: Implement Weighted Predictiveness Curve to Visualize the...
WPC-packageR Documentation
Implement Weighted

dbca-wa/wastdr: WA Sea Turtle Database 'WAStD' API Wrapper

Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper

R/wa-counties-boundaries.R:

(class =  `sf`)
#' @rdname wa-counties-boundaries
#' @export

dbca-wa/etlTurtleNesting: Data ETL of Turtle Nesting Census Data from ODK Central to WAStD

-wa/etlTurtleNesting
BugReports: https://github.com/dbca-wa/etlTurtleNesting/issues
License: MIT + file LICENSE

dbca-wa/rGeoCBI: A Burn Severity Assessment Toolkit for Austral Vegetation Communities

, https://github.com/dbca-wa/rOzCBI, https://dbca-wa.github.io/rOzCBI/
BugReports: https://github.com/dbca-wa/rOzCBI