fiber: fiber

GITHUB

kim3-sudo/expdesigndata: Datasets For Experimental Design

R: fiber
fiberR Documentation
fiber

fiber: Fiber data

CRAN

emmeans: Estimated Marginal Means, aka Least-Squares Means

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

fiber: Fiber Strength Dataset

CRAN

HoRM: Supplemental Functions and Datasets for "Handbook of Regression Methods"

R: Fiber Strength Dataset
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

fiber: Fiber Strength Dataset

GITHUB

dsy109/HoRM: Supplemental Functions and Datasets for "Handbook of Regression Methods"

R: Fiber Strength Dataset
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

taman: Luas Taman Kota Di Sub Wilayah Kota (SWK) Bandung Tahun 2018

GITHUB

mohrosidi/envbandung: Data Lingkungan Hidup Open Data Bandung

R: Luas Taman Kota Di Sub Wilayah Kota (SWK) Bandung Tahun 2018
tamanR Documentation
Luas Taman Kota Di Sub Wilayah

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

gRc: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries

CRAN

gRc: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries

Package: gRc
Version: 0.5.1
Title: Inference in Graphical Gaussian Models with Edge and Vertex

demo/gRc-JSS.R
man/grc-summary.Rd

Rehab: Rehabilitative potential of 20 prison inmates as judged

CRAN

BSDA: Basic Statistics and Data Analysis

potential of 20 prison inmates as judged by two psychiatrists
Description
Data for Exercise 7.61

Rehab: Rehabilitative potential of 20 prison inmates as judged

GITHUB

alanarnholt/BSDA: Basic Statistics and Data Analysis

potential of 20 prison inmates as judged by two psychiatrists
Description
Data for Exercise 7.61

grc-summary: The package 'gRc': summary information

CRAN

gRc: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries

R: The package 'gRc': summary information
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

grc-summary: The package 'gRc': summary information

GITHUB

hojsgaard/gRc: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries

R: The package 'gRc': summary information
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

sARI: Soft adjusted Rand index

CRAN

MetabolSSMF: Simplex-Structured Matrix Factorisation for Metabolomics Analysis

Rand index, a soft agreement measure for class partitions incorporating assignment probabilities.
Usage
sARI(partition1

grc: Greece

GITHUB

jcpernias/RPIAAC: Datasets from PIAAC

for the International
Assesment of Adult competencies.
Usage

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

gRc: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries

RFORGE

gRc: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries

Package: gRc
Version: 0.4-1
Title: Inference in Graphical Gaussian Models with Edge and Vertex

gRc-Ex.R
demo/gRc-JSS.R

Fibers: Tensile strengths

CRAN

EstimationTools: Maximum Likelihood Estimation for Probability Functions from Data Sets

) of 69 specimens of carbon fiber tested under tension
at gauge lengths of 20 mm.
Usage

grc: Row-Column Interaction Models including Goodman's RC

CRAN

VGAM: Vector Generalized Linear and Additive Models

association model (GRC) to a matrix of counts,
and more generally, row-column interaction models (RCIMs).
RCIMs allow

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