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: 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

Cluster: Cluster

GITHUB

vonthein/illustrator: Symbol Plots

R: Cluster
ClusterR Documentation
Cluster

clusters: Clustering

CRAN

acm4r: Align-and-Count Method comparisons of RFLP data

R: Clustering
clustersR Documentation
Clustering

cluster: Cluster

CRAN

sigmajs: Interface to 'Sigma.js' Graph Visualization Library

R: Cluster
sg_clusterR Documentation
Cluster

clustering: Clustering

GITHUB

SCA-IRCM/SingleCellSignalR: Cell Signalling Using Single Cell RNAseq Data Analysis

R: Clustering
clusteringR Documentation
Clustering

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

cluster: *cluster*

GITHUB

Oviing/Test2: Analysing of confirmed meteroites, which landed on earth

R: *cluster*
clusterR Documentation
cluster

clustering: Clustering

GITHUB

sipss/NIHSlcms: Signal processing of LC-MS metabolomics

R: Clustering
clusteringR Documentation
Clustering

clustering: Clustering

GITHUB

sipss/AlpsLCMS: Signal processing of LC-MS metabolomics

R: Clustering
clusteringR Documentation
Clustering

cluster: cluster

GITHUB

selinj/chromswitch: An R package to detect chromatin state switches from epigenomic data

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

cluster: Cluster

GITHUB

JohnCoene/sigmajs: Interface to 'Sigma.js' Graph Visualization Library

R: Cluster
sg_clusterR Documentation
Cluster