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

candy: Candy data

CRAN

MatrixCorrelation: Matrix Correlation Coefficients

R: Candy data
candyR Documentation
Candy data

candies: Sensory assessment of candies.

CRAN

multiblock: Multiblock Data Fusion in Statistics and Machine Learning

R: Sensory assessment of candies.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

candies: Sensory assessment of candies.

CRAN

HDANOVA: High-Dimensional Analysis of Variance

R: Sensory assessment of candies.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

candy: Candy Packs Purchased

CRAN

flexmix: Flexible Mixture Modeling

R: Candy Packs Purchased
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

candies: Sensory assessment of candies.

GITHUB

khliland/multiblock: Multiblock Data Fusion in Statistics and Machine Learning

R: Sensory assessment of candies.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

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

jennybc/candy: candy survey data

GITHUB

jennybc/candy: candy survey data

Package: candy
Type: Package
Title: candy survey data

data-raw/CANDY-HIERARCHY-2015 SURVEY-Responses.csv
data-raw/CANDY-HIERARCHY-2015-SURVEY-Responses.xlsx

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

candy: correlation covariance matrix of binary data

GITHUB

hvongbg/bindabox: Toolbox for fixed-links modelling

the correltaion and covariance matrix – necessary to calcualte fixed-link models in SEM
Usage
candy(my_data, output_matrix

JawaTimur: Food Prices in Jawa Timur

CRAN

ifpd: Indonesia Food Prices Data

R: Food Prices in Jawa Timur
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

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)

Panel: Panel

GITHUB

Appsilon/shiny.fluent: Microsoft Fluent UI for Shiny Apps

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