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

emergency: emergency Bayesian Network

R: emergency Bayesian Network
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

Emergence: Compute emerging adults

R: Compute emerging adults
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

emerg: Dataset: Emergence of passion fruit seeds over time .

R: Dataset: Emergence of passion fruit seeds over time .
emergR Documentation
Dataset: Emergence of passion fruit

emergency: Emergency Calls for Montgomery County, PA

R: Emergency Calls for Montgomery County, PA
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

emerg: Dataset: Emergence of passion fruit seeds over time .

R: Dataset: Emergence of passion fruit seeds over time .
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

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

KalimantanTengah: Food Prices in Kalimantan Tengah

R: Food Prices in Kalimantan Tengah
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

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

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