WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

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

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

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

vendor: vendor

GITHUB

bcBusinessStats/data1135: Data for Business Statistics OPER1135

R: vendor
vendorR Documentation
vendor

vendor: Vendor renv in an R package

CRAN

renv: Project Environments

R: Vendor renv in an R package
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

vendor: Vendor the cpp4r and armadillo4r headers

CRAN

armadillo4r: An 'Armadillo' Interface

R: Vendor the cpp4r and armadillo4r headers
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

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

CRAN

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

vendors: Retrieves the set of all vendors available.

GITHUB

ALShum/Retsly: R Interface to Retsly Real Estate Data API

R: Retrieves the set of all vendors available.
vendorsR Documentation
Retrieves the set of all vendors available

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

wa: Weighted averaging transfer functions

CRAN

analogue: Analogue and Weighted Averaging Methods for Palaeoecology

and classicial
deshrinking are supported.
Usage

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

semmons1/TEST-SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

WA: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN

SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

wa: Extracts the weighted averages of a CCA solution

GITHUB

villardon/MultBiplotR: Multivariate Analysis Using Biplots in R

solution
Description
Extracts the weighted averages of a CCA solution

yang: Rectal cancer cells and radiotherapy response

RFORGE

yang: Microarray GDS1887 DATA

markers for the characterization and prediction of the response to
radiotherapy in rectal cancer
Usage

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

CRAN

gofgamma: Goodness-of-Fit Tests for the Gamma Distribution

, 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

CRAN

MultBiplotR: Multivariate Analysis Using Biplots in R

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

yang: Microarray GDS1887 DATA

RFORGE

yang: Microarray GDS1887 DATA

Package: yang
Type: Package
Title: Microarray GDS1887 DATA

dbca-wa/turtleviewer: WA Turtle Data Viewer

GITHUB

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

GITHUB

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

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

VENDOR: Number of cycles required until latch failure

CRAN

mistat: Data Sets, Functions and Examples from the Book: "Modern Industrial Statistics" by Kenett, Zacks and Amberti

vendors.
Usage
data(VENDOR)

lilin-yang/glacier: Gene List Annotation, Calculation and Illustration of Enrichment in R

GITHUB

lilin-yang/glacier: Gene List Annotation, Calculation and Illustration of Enrichment in R

c(person(given = "Lilin",
family = "Yang",
role = c("aut", "cre"),