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

modern: A data frame of modern and contemporary historical and...

CRAN

despair: Motivational Quotes and Shakespearean Bard–bits for Personal Projects

R: A data frame of modern and contemporary historical and...
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

Modern: Agricultural Data gathered in an experimental setting

GITHUB

christianu7/aistats2020smi: Semi-Modular Inference

in an experimental setting
Description
The Modern data were gathered in an experimental setting in which manure level

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

Customer: Customer Functions

GITHUB

charliebone/shopifyr: An R Interface to the Shopify API

R: Customer Functions
CustomerR Documentation
Customer Functions

Customer: Customer Functions

CRAN

shopifyr: An R Interface to the Shopify API

R: Customer Functions
CustomerR Documentation
Customer Functions

customers: customers dataset

CRAN

datasetsICR: Datasets from the Book "An Introduction to Clustering with R"

R: customers dataset
customersR Documentation
customers dataset

Customer: The Customer class

GITHUB

felixlindemann/HNUORTools: Operations Research Tools

R: The Customer class
CustomerR Documentation
The Customer class

Custom: Custom operation

GITHUB

bluefoxr/COINr: Composite Indicator Construction and Analysis

R: Custom operation
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

Custom: Custom operation

CRAN

COINr: Composite Indicator Construction and Analysis

R: Custom operation
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

CUSTOM: Custom Structure

CRAN

LMMstar: Repeated Measurement Models for Discrete Times

R: Custom Structure
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML