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

pave: Provide square polygons or their node coordinates along

CRAN

pgirmess: Spatial Analysis and Data Mining for Field Ecologists

node points) along a segment. This can be used to define a sampling grid for spatial analysis.
Usage
pave(cordseg, yc

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

blocking: blocking: Blocking

CRAN

r6qualitytools: R6-Based Statistical Methods for Quality Science

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

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

block: block

GITHUB

nexModeling/onionR: Build models as an onion

R: block
blockR Documentation
block

Blocks: Blocks

GITHUB

LaplacesDemonR/LaplacesDemonCpp: C++ Extension for LaplacesDemon

R: Blocks
BlocksR Documentation
Blocks

Blocks: Blocks

GITHUB

LaplacesDemonR/LaplacesDemon: Complete Environment for Bayesian Inference

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

blocks: blocks

GITHUB

cbsteen/clustermap: clustermap: a Versatile Toolbox in R for Clustering and Heatmap Visualisation

R: blocks
blocksR Documentation
blocks

wa: Weighted averaging transfer functions

CRAN

analogue: Analogue and Weighted Averaging Methods for Palaeoecology

and classicial
deshrinking are supported.
Usage

blocking: Blocking

CRAN

qualityTools: Statistical Methods for Quality Science

R: Blocking
blockingR Documentation
Blocking

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

semmons1/TEST-SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

blocks: blocks

GITHUB

hadley/decumar: A sweave alternative

R: blocks
blocksR Documentation
blocks

block: block

GITHUB

kailin-lu/recordlinkR: recordlinkR

R: block
blockR Documentation
block

Blocks: Blocks

CRAN

LaplacesDemon: Complete Environment for Bayesian Inference

R: Blocks
BlocksR Documentation
Blocks

Blocks: Blocks

GITHUB

benmarwick/LaplacesDemon: Complete Environment for Bayesian Inference

R: Blocks
BlocksR Documentation
Blocks

Blocks: Blocks

GITHUB

ecbrown/LaplacesDemon: Complete Environment for Bayesian Inference

R: Blocks
BlocksR Documentation
Blocks

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

block: Block units into homogeneous experimental blocks

CRAN

blockTools: Block, Assign, and Diagnose Potential Interference in Randomized Experiments

R: Block units into homogeneous experimental blocks
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt