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

ideal: Create a new ideal in Macaulay2

CRAN

m2r: Interface to 'Macaulay2'

R: Create a new ideal in Macaulay2
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

ideal: Ideal data for linear regression

CRAN

radiant.model: Model Menu for Radiant: Business Analytics using R and Shiny

R: Ideal data for linear regression
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

ideal: Create a new ideal in Macaulay2

GITHUB

musicman3320/m2r: Interface to 'Macaulay2'

R: Create a new ideal in Macaulay2
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

ideal: ideal: Interactive Differential Expression Analysis

BIOC

ideal: Interactive Differential Expression AnaLysis

R: ideal: Interactive Differential Expression Analysis
idealR Documentation
ideal: Interactive Differential

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

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

ideal: Interactive Differential Expression AnaLysis

BIOC

ideal: Interactive Differential Expression AnaLysis

Package: ideal
Type: Package
Title: Interactive Differential Expression AnaLysis

R/ideal-pkg.R
vignettes/ideal-usersguide.Rmd

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")

box: Box

GITHUB

jsdeherrera/shinyBoots: Shortcuts for Twitter Bootstrap

R: Box
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

boxes: Boxes

GITHUB

nrennie/aRt: Generative Art with R

R: Boxes
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

boxes: boxes

CRAN

rpms: Recursive Partitioning for Modeling Survey Data

R: boxes
boxesR Documentation
boxes

boxes: Boxes

CRAN

StatDA: Statistical Analysis for Environmental Data

R: Boxes
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

wa: Weighted averaging transfer functions

CRAN

analogue: Analogue and Weighted Averaging Methods for Palaeoecology

and classicial
deshrinking are supported.
Usage

Box: Box

GITHUB

QuartzSoftwareLLC/shiny.mui: Mui fork to shiny written with the react.shiny library

R: Box
BoxR Documentation
Box

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