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

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

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

my.Cochran.Armitage.trend.exact.2x3: All possible 2x3 tables This function returns nx6 matrix;...

GITHUB
ryamada22/Ronlyryamada:

R: All possible 2x3 tables This function returns nx6 matrix;...
my.Cochran.Armitage.trend.exact.2x3R Documentation

my.Cochran.Armitage.trend.exact.2x3: All possible 2x3 tables This function returns nx6 matrix;...

GITHUB
ryamada22/Rryamada:

R: All possible 2x3 tables This function returns nx6 matrix;...
my.Cochran.Armitage.trend.exact.2x3R Documentation

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

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

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

jpark-tamu/danbi: Favoriate R Functions for <https://sites.google.com/view/jpark-tamu/>

GITHUB
jpark-tamu/danbi: Favoriate R Functions for <https://sites.google.com/view/jpark-tamu/>

Package: danbi
Type: Package
Title: Favoriate R Functions for <https://sites.google.com/view/jpark-tamu/>

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

R/my.Cochran.Armitage.trend.exact.2x3.R:

GITHUB
ryamada22/Ronlyryamada:

#' All possible 2x3 tables
#' This function returns nx6 matrix; each row has 6 elements of 2x3 table
#' sharing

KalimantanSelatan: Food Prices in Kalimantan Selatan

CRAN
ifpd: Indonesia Food Prices Data

Selatan
Bawang MerahPrice of shallots in Kalimantan Selatan
Bawang Merah Ukuran SedangPrice of medium shallots

TAMU-AML/DSWE-Package: Data Science for Wind Energy

GITHUB
TAMU-AML/DSWE-Package: Data Science for Wind Energy

:9780429956508).
Depends:
R (>= 3.5.0)

R/my.Cochran.Armitage.trend.exact.2x3.R:

GITHUB
ryamada22/Rryamada:

#' All possible 2x3 tables
#' This function returns nx6 matrix; each row has 6 elements of 2x3 table
#' sharing

SulawesiSelatan: Food Prices in Sulawesi Selatan

CRAN
ifpd: Indonesia Food Prices Data

of shallots in Sulawesi Selatan
Bawang Merah Ukuran SedangPrice of medium shallots in Sulawesi Selatan
Bawang PutihPrice