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

axe-xrf: Axing a xrf.

CRAN

butcher: Model Butcher

R: Axing a xrf.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

vendor: vendor

GITHUB

bcBusinessStats/data1135: Data for Business Statistics OPER1135

R: vendor
vendorR Documentation
vendor

xrf: eXtreme RuleFit

CRAN

xrf: eXtreme RuleFit

Package: xrf
Title: eXtreme RuleFit
Version: 0.3.1

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

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

xrf: Fit an eXtreme RuleFit model

CRAN

xrf: eXtreme RuleFit

for building an "eXtreme RuleFit" model.
See xrf.formula for preferred entry point
Usage

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 headers

CRAN

cpp4r: Header-Only 'C++' and 'R' Interface

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

SumateraBarat: Food Prices in Sumatera Barat

CRAN

ifpd: Indonesia Food Prices Data

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

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

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

thermo: Thermodynamic database and system settings

CRAN

CHNOSZ: Thermodynamic Calculations and Diagrams for Geochemistry

water, P.units, T.units, E.units, and some other commands (e.g. mod.buffer).
All the data are stored in the thermo data

thermo: Thermodynamic database and system settings

RFORGE

CHNOSZ: Thermodynamic Calculations and Diagrams for Geochemistry

water, P.units, T.units, E.units, and some other commands (e.g. mod.buffer).
All the data are stored in the thermo data

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)