Aquarium: Aquarium

GITHUB

cboettig/schemar: Create Structured Data Using the Schema.org Vocabulary

R: Aquarium
AquariumR Documentation
Aquarium

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.

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

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

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

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

of Washington.
Usage
data("WA")

aquarium: Validate 'Phishing' 'URLs' with the 'PhishTank' Service

GITHUB

hrbrmstr/aquarium: Validate 'Phishing' 'URLs' with the 'PhishTank' Service

R: Validate 'Phishing' 'URLs' with the 'PhishTank' Service
aquariumR

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

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

hrbrmstr/aquarium: Validate 'Phishing' 'URLs' with the 'PhishTank' Service

GITHUB

hrbrmstr/aquarium: Validate 'Phishing' 'URLs' with the 'PhishTank' Service

Package: aquarium
Type: Package
Title: Validate 'Phishing' 'URLs' with the 'PhishTank' Service

R/aquarium-package.R

dbca-wa/wastdr: WA Sea Turtle Database 'WAStD' API Wrapper

GITHUB

dbca-wa/wastdr: WA Sea Turtle Database 'WAStD' API Wrapper

Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper

Model: Model

GITHUB

qhu75/fhiRclient: SMART FHIR Client

R: Model
ModelR Documentation
Model

Model: Model

GITHUB

rpc5102/rlocker: Learning Locker for Shiny

R: Model
ModelR Documentation
Model

Model: Model

GITHUB

EducationShinyAppTeam/rLocker: Learning Locker for Shiny

R: Model
ModelR Documentation
Model

models: Models

GITHUB

Bishop-Laboratory/RLHub: An ExperimentHub package for accessing processed RLSuite data sets

R: Models
fft_modelR Documentation
Models

models: Models

GITHUB

brian-j-smith/MachineShop: Machine Learning Models and Tools

R: Models
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