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

IIS: IIS

CRAN

BiOFI: Feature Identification Between Metabolome and Microbiome in Disease and Health

R: IIS
IISR Documentation
IIS

kota: Indonesia city and regency data

GITHUB

rasyidstat/nusantr: We R Nusantara

of Indonesia cities and regencies with the ID.
Usage
kota

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

ii: internal ii

CRAN

generalCorr: Generalized Correlations, Causal Paths and Portfolio Selection

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

SumateraSelatan: Food Prices in Sumatera Selatan

CRAN

ifpd: Indonesia Food Prices Data

Kualitas Bawah IIPrice of lower quality rice II in Sumatera Selatan
Beras Kualitas Medium IPrice of medium quality rice I

ULU: Computes a matrix from its eigenvalue decomposition

GITHUB

pdhoff/eigenmodel: Semiparametric Factor and Regression Models for Symmetric Relational Data

decomposition
Description
Computes a matrix from its eigenvalue decomposition

ULU: Computes a matrix from its eigenvalue decomposition

CRAN

eigenmodel: Semiparametric Factor and Regression Models for Symmetric Relational Data

eigenvalue decomposition
Description
Computes a matrix from its eigenvalue decomposition

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

IIS: Datasets to Accompany Wolfe and Schneider - Intuitive Introductory Statistics

CRAN

IIS: Datasets to Accompany Wolfe and Schneider - Intuitive Introductory Statistics

Package: IIS
Type: Package
Version: 1.1

man/IIS-package.Rd