stainless: stainless

CRAN

nsm3data: Datasets to Accompany Hollander, Wolfe, and Chicken NSM3

R: stainless
stainlessR Documentation
stainless

stainless: stainless

GITHUB

kim3-sudo/nsm3data: Datasets to Accompany Hollander, Wolfe, and Chicken NSM3

in the Stainless Steel Samples
Usage
stainless

steel: steel

GITHUB

ssustat/regbook: Regression Book

R: steel
steelR Documentation
steel

steel: steel

GITHUB

qPharmetra/qpToolkit: qPharmetra R Tools

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

steel: steel

GITHUB

regbook/regbook: Regression Book

R: steel
steelR Documentation
steel

Steel: Hardened Steel

CRAN

ssym: Fitting Semi-Parametric log-Symmetric Regression Models

R: Hardened Steel
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

Steel: Hardened Steel

CRAN

glmtoolbox: Set of Tools to Data Analysis using Generalized Linear Models

R: Hardened Steel
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

steel: Waste in steel rolling

GITHUB

SC19017016/SC19017016: The solution of simple problems in mathematical modeling

R: Waste in steel rolling
steelR Documentation
Waste in steel rolling

steel: Steel Column Function

CRAN

gek: Gradient-Enhanced Kriging

R: Steel Column Function
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

steel: Waste in steel rolling

GITHUB

SC19016/SC19016: The solution of simple problems in mathematical modeling

R: Waste in steel rolling
steelR Documentation
Waste in steel rolling

steel: Steel-type multiple contrast tests

CRAN

rankFD: Rank-Based Tests for General Factorial Designs

R: Steel-type multiple contrast tests
steelR Documentation
Steel-type multiple contrast tests

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

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: 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: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN

SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

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)