Aceh: Food Prices in Aceh

CRAN
ifpd: Indonesia Food Prices Data

R: Food Prices in Aceh
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

WA: Weighted averaging (WA) regression and calibration

CRAN
rioja: Analysis of Quaternary Science Data

to be modelled or an object of class WA.
newdata
new biological data to be predicted.

WA: Weighted averaging (WA) regression and calibration

GITHUB
nsj3/rioja: Analysis of Quaternary Science Data

to be modelled or an object of class WA.
newdata
new biological data to be predicted.

modern: A data frame of modern and contemporary historical and...

CRAN
despair: Motivational Quotes and Shakespearean Bard–bits for Personal Projects

R: A data frame of modern and contemporary historical and...
const macros = { "\\R": "\\textsf{R}", "\\code

Modern: Agricultural Data gathered in an experimental setting

GITHUB
christianu7/aistats2020smi: Semi-Modular Inference

in an experimental setting
Description
The Modern data were gathered in an experimental setting in which manure level

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: Weighted averaging transfer functions

CRAN
analogue: Analogue and Weighted Averaging Methods for Palaeoecology

,..., model = FALSE)
## S3 method for class 'wa'
fitted(object, ...)

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

WA: SpatialPolygonsDataFrame for the state of Washington, USA

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

of Washington.
Usage
data("WA")

cluster: Cluster model

CRAN
llama: Leveraging Learning to Automatically Manage Algorithms

R: Cluster model
clusterR Documentation
Cluster model

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)

clusterize: function to clusterize the code of the model

GITHUB
DimitriF/DLC: Deep Layer Chromatography

R: function to clusterize the code of the model
clusterizeR Documentation
function to clusterize the code

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: Clustering of movement-model parameters

CRAN
ctmm: Continuous-Time Movement Modeling

R: Clustering of movement-model parameters
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

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

clustering: Clustering

GITHUB
mbeccuti/Prova:

the data stored in databaseTr with a model among
the Malthus, Gompertz and Logistic ones.
Usage

clusters: Clusters

GITHUB
news-r/word2vec.r: Implementation of 'Julia' 'Word2vec'

R: Clusters
clustersR Documentation
Clusters

clustering: Clustering

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

R: Clustering
clusteringR Documentation
Clustering