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

avery-kruger/kitchen: Convolutional Kitchen Sinks in R

GITHUB

avery-kruger/kitchen: Convolutional Kitchen Sinks in R

Package: kitchen
Type: Package
Title: Convolutional Kitchen Sinks in R

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

model-set: model<-

GITHUB

khaors/pumpingtest: R Package for the analysis and evaluation of pumping tests

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

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

models-set: Accessor for the models slot of an 'S4' object

GITHUB

bhklab/PanCuRx: Pancreatic Ductal Adenocarcinoma Tool-Kit

R: Accessor for the models slot of an 'S4' object
models<-R Documentation
Accessor for the models slot of an S4

models-set: Accessor for the models slot of an 'S4' object

GITHUB

bhklab/PDATK: Pancreatic Ductal Adenocarcinoma Tool-Kit

R: Accessor for the models slot of an 'S4' object
models<-R Documentation
Accessor for the models slot of an S4

model-set: Assign the model block in the rxode2 related object

CRAN

rxode2: Facilities for Simulating from ODE-Based Models

R: Assign the model block in the rxode2 related object
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

fixed-set-.model: Set fixed attribute of model

CRAN

nonmemica: Create and Evaluate NONMEM Models in a Project Context

R: Set fixed attribute of model
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

settings: Settings of Model

CRAN

multiRL: Reinforcement Learning Tools for Multi-Armed Bandit

R: Settings of Model
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

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

lower-set-.model: Set Lower Bounds for Model Initial Estimates

CRAN

nonmemica: Create and Evaluate NONMEM Models in a Project Context

R: Set Lower Bounds for Model Initial Estimates
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt