pvc: Production of PVC by operator and resin railcar

CRAN
faraway: Datasets and Functions for Books by Julian Faraway

R: Production of PVC by operator and resin railcar
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

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

PVC: A Modified Algorithm for Principal Volatility Component

CRAN
tsBSS: Blind Source Separation and Supervised Dimension Reduction for Time Series

Volatility Component Estimator
Description
PVC (Principal Volatility Component) estimator for the blind source

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")

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

CAOP.RAA.2024: Official Administrative Map of the Azores (CAOP 2024)

CRAN
CAOP.RAA.2024: Official Administrative Map of the Azores (CAOP 2024)

Package: CAOP.RAA.2024
Title: Official Administrative Map of the Azores (CAOP 2024)
Version: 0.0.5

R/CAOP.RAA.2024-package.R
man/CAOP.RAA.2024-package.Rd

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/>

county.regions.2024: Supported regions for US counties in 2024

CRAN
choroplethr: Create Color-Coded Choropleth Maps in R

R: Supported regions for US counties in 2024
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

bracket.women.2024: 2024 Women's March Madness bracket

GITHUB
elishayer/mRchmadness: Numerical Tools for Filling Out an NCAA Basketball Tournament Bracket

R: 2024 Women's March Madness bracket
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

bracket.men.2024: 2024 Men's March Madness bracket

GITHUB
elishayer/mRchmadness: Numerical Tools for Filling Out an NCAA Basketball Tournament Bracket

R: 2024 Men's March Madness bracket
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

pred.pop.men.2024: 2024 March Madness Population Pick Distribution

GITHUB
elishayer/mRchmadness: Numerical Tools for Filling Out an NCAA Basketball Tournament Bracket

R: 2024 March Madness Population Pick Distribution
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

games.men.2024: 2024 NCAA Men's Basketball Game-by-Game Results

GITHUB
elishayer/mRchmadness: Numerical Tools for Filling Out an NCAA Basketball Tournament Bracket

R: 2024 NCAA Men's Basketball Game-by-Game Results
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt