dis: dis

GITHUB

JGCRI/rfasst: rfasst

R: dis
disR Documentation
dis

di: Deficit Index (DI)

CRAN

di: Deficit Index (DI)

Package: di
Type: Package
Title: Deficit Index (DI)

inst/doc/di-vignette.R
inst/doc/di-vignette.Rmd

WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

lean=FALSE)
## S3 method for class 'WA'
predict(object, newdata=NULL, sse=FALSE, nboot=100,

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

lean=FALSE)
## S3 method for class 'WA'
predict(object, newdata=NULL, sse=FALSE, nboot=100,

dis: dis

GITHUB

jonsampedro/rfasst: rfasst

R: dis
disR Documentation
dis

di-di: This function calculates the Deficit Index (DI) and returns...

GITHUB

izhbannikov/di: Deficit Index (DI)

to TRUE)
that were used to calculate the di.
Examples

di-di: This function calculates the Deficit Index (DI) and returns...

CRAN

di: Deficit Index (DI)

to TRUE)
that were used to calculate the di.
Examples

di: Estima e Prever com Indice de Difussao (di)

GITHUB

santoscs/prevendo.inflacao.fatores.comuns: Prevendo Inflacao Com Modelo Fatores Comuns

R: Estima e Prever com Indice de Difussao (di)
diR Documentation
Estima e Prever com Indice de Difussao (di

di: Estima e Prever com Indice de Difussao (di)

GITHUB

santoscs/pimfc: Prevendo Inflacao Com Modelo Fatores Comuns

R: Estima e Prever com Indice de Difussao (di)
diR Documentation
Estima e Prever com Indice de Difussao (di

izhbannikov/di: Deficit Index (DI)

GITHUB

izhbannikov/di: Deficit Index (DI)

Package: di
Type: Package
Title: Deficit Index (DI)

man/di-di.Rd
vignettes/di-vignette.Rmd

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

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

dI: Lower bound for the number of true discoveries

CRAN

pARI: Permutation-Based All-Resolutions Inference

out <- signTest(X = db)
pv <- cbind(out$pv, out$pv_H0)
cv <- criticalVector(pvalues = pv, family = "simes", lambda = 0.1, alpha = 0.1)

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)

DI: Dynamic interaction index

CRAN

wildlifeDI: Calculate Indices of Dynamic Interaction for Wildlife Tracking Data

, { throwOnError: false, macros }); }
return;
DIR Documentation

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