WA: Weighted averaging (WA) regression and calibration

CRAN
rioja: Analysis of Quaternary Science Data

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

WA: Weighted averaging (WA) regression and calibration

GITHUB
nsj3/rioja: Analysis of Quaternary Science Data

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

M2: M2 dataset

CRAN
FuzzyStatTra: Statistical Methods for Trapezoidal Fuzzy Numbers

R: M2 dataset
M2R Documentation
M2 dataset

lua: Run Lua code

CRAN
luajr: 'LuaJIT' Scripting

R: Run Lua code
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

vinyl: Vinysl plasticizer formulations experiment data

CRAN
daewr: Design and Analysis of Experiments with R

experiment data
Description
Data from vinyl plasticiser formulation experiment in chapter 11 of Design and Analysis

M2: Compute the M2 model fit statistic

GITHUB
xzhaopsy/MIRT: Multidimensional Item Response Theory

R: Compute the M2 model fit statistic
M2R Documentation
Compute the M2 model fit statistic

M2: Compute the M2 model fit statistic

CRAN
mirt: Multidimensional Item Response Theory

R: Compute the M2 model fit statistic
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

vinyl: Vinysl plasticizer formulations experiment data

RFORGE
daewr: Design and Analysis of Experiments with R

data
Description
Data from vinyl plasticiser formulation experiment in chapter 11 of Design and Analysis

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

and classicial
deshrinking are supported.
Usage

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
semmons1/TEST-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: 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)

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

150: ~~ Methods for Function 'getTransferCoefficients

RFORGE
SoilR: Models of Soil Organic Matter Decomposition

R: ~~ Methods for Function 'getTransferCoefficients

M2: Goodness-of-fit of factor copula models for mixed data

CRAN
FactorCopula: Factor, Bi-Factor, Second-Order and Factor Tree Copula Models

R: Goodness-of-fit of factor copula models for mixed data
M2.FactorR Documentation
Goodness-of-fit of factor copula