aiR: aiR

GITHUB

jtlandis/aiR: Simple machine learning algorithm tools

to be made.
sample.Factor
Necessary when sample.method set to "Factor". Assign as vector of length 2 in the following form

WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns

air: Air

CRAN

scuba: Diving Calculations and Decompression Models

R: Air
airR Documentation
Air

air: AIR-Index

GITHUB

Dasonk/SOWAS: Software for Wavelet Analysis and Synthesis

R: AIR-Index
airR Documentation
AIR-Index

air: European air controllers

CRAN

npbr: Nonparametric Boundary Regression

and Simar (2008).
Usage
data(air)

air: Air quality data

CRAN

funcharts: Functional Control Charts

: false, macros }); }
return;
airR Documentation

air: Air quality data

CRAN

FRegSigCom: Functional Regression using Signal Compression Approach

R: Air quality data
airR Documentation
Air quality data

air: Air Transport Passengers Australia

CRAN

bayesforecast: Bayesian Time Series Modeling with Stan

R: Air Transport Passengers Australia
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

air: Air quality measurements in an underground train station

CRAN

ks: Kernel Smoothing

in an underground train station
Description
This data set contains the hourly mean air

air: Air quality data, rural background PM10 in Germany, daily...

CRAN

spacetime: Classes and Methods for Spatio-Temporal Data

R: Air quality data, rural background PM10 in Germany, daily...
const macros = { "\\R": "\\textsf{R}", "\\code

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: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

Pik: Inclusion Probabilities for Fixed Size Without Replacement

GITHUB

damarals/TeachingSampling: Selection of Samples and Parameter Estimation in Finite Population

in the population given a
fixed sample size design
Usage

wa: Weighted averaging transfer functions

CRAN

analogue: Analogue and Weighted Averaging Methods for Palaeoecology

mod <- wa(SumSST ~., data = ImbrieKipp)
## extract the fitted values
fitted(mod)

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)