Bengkulu: Food Prices in Bengkulu

CRAN

ifpd: Indonesia Food Prices Data

of branded packaged cooking oil 2 in Bengkulu
Gula PasirPrice of sugar in Bengkulu
Gula Pasir Kualitas PremiumPrice

WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

to be modelled or an object of class WA.
newdata
new biological data to be predicted.

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

to be modelled or an object of class WA.
newdata
new biological data to be predicted.

syunsuke/koto: koto is tools for reading Chikakouji data

GITHUB

syunsuke/koto: koto is tools for reading Chikakouji data

Package: koto
Title: koto is tools for reading Chikakouji data
Version: 0.0.2.0002

v: v data

CRAN

VARMER: Variational Merging

Usage
data(v,"VARMER")
Format

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

v: Kuiper V statistic

GITHUB

nxskok/edfr: Calculate EDF Test Statistics for Goodness of Fit

R: Kuiper V statistic
vR Documentation
Kuiper V statistic

v: Vector of Expected Values \mathbf{v}

GITHUB

jeksterslab/ramR: Reticular Action Model (RAM) Notation

the vector of expected values \mathbf{v}
using the Reticular Action Model (RAM) notation.
Usage

v: Calculate the V effect size statistic

GITHUB

datalorax/esvis: Visualization and Estimation of Effect Sizes

R: Calculate the V effect size statistic
vR Documentation
Calculate the V effect size statistic

v: Calculate the V effect size statistic

CRAN

esvis: Visualization and Estimation of Effect Sizes

R: Calculate the V effect size statistic
vR Documentation
Calculate the V effect size statistic

v: Calculate the V effect size statistic

GITHUB

DJAnderson07/esvis: Visualization and Estimation of Effect Sizes

R: Calculate the V effect size statistic
vR Documentation
Calculate the V effect size statistic

wa: Weighted averaging transfer functions

CRAN

analogue: Analogue and Weighted Averaging Methods for Palaeoecology

,..., model = FALSE)
## S3 method for class 'wa'
fitted(object, ...)

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

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

V: Volume prediction model

GITHUB

wslerry/tRee: Volume/Ha Prediction Model of Acacia Mg.

R: Volume prediction model
VR Documentation
Volume prediction model

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