adae: ADAE

CRAN

tidyCDISC: Quick Table Generation & Exploratory Analyses on ADaM-Ish Datasets

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

adae: adae

CRAN

pharmaverseadam: ADaM Test Data for the 'Pharmaverse' Family of Packages

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

ada: The R Package Ada for Stochastic Boosting

CRAN

ada: The R Package Ada for Stochastic Boosting

Package: ada
Version: 2.0-5.1
Date: 2016-04-12

R/ada-internal.R

ADA: Average Deviation Analog (ADA)

GITHUB

joelgombin/qualvar: Implements Indices of Qualitative Variation Proposed by Wilcox (1973)

R: Average Deviation Analog (ADA)
ADAR Documentation
Average Deviation Analog (ADA)

ADA: Average Deviation Analog (ADA)

CRAN

qualvar: Implements Indices of Qualitative Variation Proposed by Wilcox (1973)

R: Average Deviation Analog (ADA)
ADAR Documentation
Average Deviation Analog (ADA)

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

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

cdisc-adae: 'ADAE' data created from subsetting the 'CDISC' 'ADAE'...

CRAN

tidytlg: Create TLGs using the 'tidyverse'

R: 'ADAE' data created from subsetting the 'CDISC' 'ADAE'...
const macros = { "\\R": "\\textsf{R}", "\\code

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")

adae: Adverse Event Analysis Dataset

GITHUB

epijim/admiral: ADaM in R Asset Library

event analysis dataset
Usage
adae

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

lwjohnst86/ada.2017: Abstract and Presentation Files for ADA 2017

GITHUB

lwjohnst86/ada.2017: Abstract and Presentation Files for ADA 2017

Package: ada.2017
Title: Abstract and Presentation Files for ADA 2017
Version: 0.0.2

ada.2017.Rproj

ada: Fitting Stochastic Boosting Models

CRAN

ada: The R Package Ada for Stochastic Boosting

Description
‘ada’ is used to fit a variety stochastic boosting models for a binary response
as described in Additive Logistic

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)

adas: Adaptive Synthetic Sampling Approach for Imbalanced Learning

CRAN

smotefamily: A Collection of Oversampling Techniques for Class Imbalance Problem Based on SMOTE

the minority instance.
Usage
ADAS(X,target,K=5)

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