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

dis: dis

GITHUB

JGCRI/rfasst: rfasst

R: dis
disR Documentation
dis

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

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

RAB: Compute the relative absolute bias of multiple estimators

CRAN

SimDesign: Structure for Organizing Monte Carlo Simulation Designs

bias1 <- bias(samp1, pop)
samp2 <- rnorm(5000, 1)
bias2 <- bias(samp2, pop)

RAB: real adaboost (Friedman et al

BIOC

MLInterfaces: Uniform interfaces to R machine learning procedures for data in Bioconductor containers

... a demonstration version
Usage
RAB(formula, data, maxiter=200, maxdepth=1)

RAB: real adaboost (Friedman et al

GITHUB

lgatto/MLInterfaces: Uniform interfaces to R machine learning procedures for data in Bioconductor containers

... a demonstration version
Usage
RAB(formula, data, maxiter=200, maxdepth=1)

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

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: 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

WA: statistic of the Watson goodness-of-fit test for the gamma

CRAN

gofgamma: Goodness-of-Fit Tests for the Gamma Distribution

transform". Communications in Statistics - Theory and Methods, 41(9): 1543-1556. DOI
Examples
X=stats::rgamma(20,3,6)