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

composition: Composition

GITHUB
13kay/rg2: G2 binding for R

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

composite: Composite

CRAN
multicon: Multivariate Constructs

R: Composite
compositeR Documentation
Composite

compositions: Compositions generator

GITHUB
randy3k/arrangements: Fast Generators and Iterators for Permutations, Combinations, Integer Partitions and Compositions

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

Composite: Computes composites

CRAN
s2dverification: Set of Common Tools for Forecast Verification

R: Computes composites
CompositeR Documentation
Computes composites

compositions: Compositions generator

CRAN
arrangements: Fast Generators and Iterators for Permutations, Combinations, Integer Partitions and Compositions

R: Compositions generator
compositionsR Documentation
Compositions generator

composite: Score Composition

GITHUB
kkmann/otsd: Adaptive Optimal Two-Stage Designs in R

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

composite: Score Composition

GITHUB
kkmann/adoptr: Adaptive Optimal Two-Stage Designs in R

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

composite: Score Composition

CRAN
adoptr: Adaptive Optimal Two-Stage Designs

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

Composite: Compute composites

CRAN
s2dv: A Set of Common Tools for Seasonal to Decadal Verification

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

compositer: Create Composite Features

CRAN
SpatialVx: Spatial Forecast Verification

”), or the model conditioned on the verification composite features are plotted. In the case of type = “all”, then a panel of four

composite: Image Composite

CRAN
magick: Advanced Graphics and Image-Processing in R

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

composition: Composition of Thorntons Continental

GITHUB
dan2cil/tecTools: A collection of small function for Food Technologists

R: Composition of Thorntons Continental
compositionR Documentation
Composition of Thorntons Continental

Compositional: Compositional Data Analysis

CRAN
Compositional: Compositional Data Analysis

Package: Compositional
Type: Package
Title: Compositional Data Analysis

man/Compositional-package.Rd

compositions: Compositional Data Analysis

CRAN
compositions: Compositional Data Analysis

Package: compositions
Version: 2.0-9
Date: 2025-08-20

man/compositional-class.Rd

composition: Compositional kernels

GITHUB
goldingn/gpe: Gaussian Process Everything

R: Compositional kernels
compositionR Documentation
Compositional kernels

composition: The composition of TransferFunction objects

CRAN
spacesRGB: Standard and User-Defined RGB Color Spaces, with Conversion Between RGB and CIE XYZ and Lab

R: The composition of TransferFunction objects
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

composite: create a composite matrix

CRAN
diffeR: Metrics of Difference for Comparing Pairs of Maps or Pairs of Variables

R: create a composite matrix
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