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

lua: Run Lua code

CRAN

luajr: 'LuaJIT' Scripting

R: Run Lua code
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

M: M

GITHUB

t-arae/prtclmisc:

R: M
MR Documentation
M

M: M

GITHUB

bdearlove/treeImbalance: Imbalance metrics for time-sampled phylogenetic trees.

R: M
MR Documentation
M

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")

M: M Matrix

GITHUB

jeksterslabds/jeksterslabRlinreg: Jekster's Lab Linear Regression Utilities

R: M Matrix
MR Documentation
M Matrix

WA: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN

SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

M: M Vector

GITHUB

jeksterslabds/jeksterslabRmedsimple: Jekster's Lab Simple Mediation Model Utilities

R: M Vector
MR Documentation
M Vector

m: M Function

CRAN

NPHMC: Sample Size Calculation for the Proportional Hazards Mixture Cure Model

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

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

M: Simulated M data for examples.

CRAN

Cascade: Selection, Reverse-Engineering and Prediction in Cascade Networks

R: Simulated M data for examples.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

M: To calculate the value of M.

CRAN

GeodesiCL: Geometric Geodesy Functions

R: To calculate the value of M.
MR Documentation
To calculate the value of M.

M: To calculate the value of M.

GITHUB

diegoalarc/GeodesiCL: Geometric Geodesy Functions

R: To calculate the value of M.
MR Documentation
To calculate the value of M.

M: Get whitened trend matrix M

CRAN

rlibkriging: Kriging Models using the 'libKriging' Library

R: Get whitened trend matrix M
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function