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

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

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

70: Effects of temperature on decomposition rates according

RFORGE

SoilR: Models of Soil Organic Matter Decomposition

R: Effects of temperature on decomposition rates according to...
fT.DemeterR

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: 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

m2: Module 2: Actions (cognitive related

GITHUB

derecost/LOGAN: Log File Analysis in International Large-Scale Assessments

2: Actions (cognitive related)
Usage
m2

M2: 69 trapezoidal fuzzy numbers

CRAN

FuzzyStatTraEOO: Package 'FuzzyStatTra' in Encapsulated Object Oriented Programming

Trapezoidal fuzzy rating responses to the Question M2 "My teacher is easy to understand"
are collected in this dataset

m2: Evaluate Macaulay2 Code

CRAN

algstat: Algebraic statistics in R

it through a back-end connection to Macaulay2, and bring the output back into R.
Usage
m2(code, dir = tempdir(), opts

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

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