Wall: Wall

GITHUB
BeautyOfWeb/HarmonizedTCGAData: Processed Harmonized TCGA Data of Five Selected Cancer Types

R: Wall
WallR Documentation
Wall

walls: walls: Statistical Inference for the Thermophysical...

GITHUB
paulnorthrop/walls: Statistical Inference for the Thermophysical Properties of Walls from In-Situ Surveys

R: walls: Statistical Inference for the Thermophysical...
wallsR Documentation
walls: Statistical Inference

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

kota: Indonesia city and regency data

GITHUB
rasyidstat/nusantr: We R Nusantara

of Indonesia cities and regencies with the ID.
Usage
kota

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

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

wall: Open a new frame for a path diagram

GITHUB
gastonstat/pathdiagram: Basic functions for drawing path diagrams

this function to open a white canvas to start drawing
a path diagram. By default, wall opens a new plot
window from 0 to 1

wall: Open a new frame for a path diagram

CRAN
pathdiagram: Basic Functions for Drawing Path Diagrams

this function to open a white canvas to start drawing
a path diagram. By default, wall opens a new plot
window from 0 to 1

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

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
semmons1/TEST-SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

GRC: Greece

GITHUB
covid19datahub/COVID19dev: COVID-19 Data Hub

, macros }); }
return;
GRCR Documentation

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