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

per: Periodogram (PER)

CRAN

qfa: Quantile-Frequency Analysis (QFA) of Time Series

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

per: Constructs a Per object.

GITHUB

emjun/tisaner: Authoring Statistical Models from Conceptual Models

R: Constructs a Per object.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

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: 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

per: Periodogram

GITHUB

neuroconductor-devel-releases/waveslim: Basic Wavelet Routines for One-, Two-, and Three-Dimensional Signal Processing

Transform (FFT).
Usage
per(z)

PER: Peru

GITHUB

covid19datahub/COVID19dev: COVID-19 Data Hub

}); }
return;
PERR Documentation

per: Locate value for ith percentage point in a binned

CRAN

GenKern: Functions for generating and manipulating binned kernel density estimates

in a binned distribution
Description
Calculates the value for the ith point in a binned distribution

PER: Two-sided test for the pooled effect ratio estimand

CRAN

ivdesign: Hypothesis Testing in Cluster-Randomized Encouragement Designs

estimand
Description
PER returns the two-sided p-value testing