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.

kota: Indonesia city and regency data

GITHUB

rasyidstat/nusantr: We R Nusantara

of Indonesia cities and regencies with the ID.
Usage
kota

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")

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

hello: Say hello

GITHUB

rpruim/cvc2017: This is a Demo for CVC 2017

hello(name = "Fred")
Arguments
name

hello: hello

GITHUB

prestevez/toypackage: A Toy Package

R: hello
helloR Documentation
hello

hello: hello

GITHUB

agron590-ISU/agron590demo: Demonstration of Package Creation

R: hello
helloR Documentation
hello

hello: hello

GITHUB

Tutuchan/gettext: A reproducible example for gettext

R: hello
helloR Documentation
hello

hello: Hello

GITHUB

schloerke/Rhipe_dummy: Dummy Rhipe

R: Hello
helloR Documentation
Hello

hello: hello

GITHUB

c5sire/yml2shiny: A Good Title

R: hello
helloR Documentation
hello

hello: hello

GITHUB

c5sire/scrud: A Good Title

R: hello
helloR Documentation
hello

hello: Hello

GITHUB

HLeviel/hello: Hello world

R: Hello
helloR Documentation
Hello