ATA: Automatic Time Series Analysis and Forecasting using Ata...

CRAN
ATAforecasting: Automatic Time Series Analysis and Forecasting using the Ata Method

R: Automatic Time Series Analysis and Forecasting using Ata...
const macros = { "\\R": "\\textsf{R}", "\\code

di: Deficit Index (DI)

CRAN
di: Deficit Index (DI)

<ilya.zhbannikov@duke.edu>
Description: A set of utilities for calculating the Deficit (frailty) Index (DI) in gerontological

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

ata: Automated Test Assembly (ATA)

GITHUB
xluo11/Rata: Automated Test Assembly

:3)$freq))
## ex. 4: two 10-item forms, max TIF over (-1, 1), consider item sets
x <- ata(pool, 2, test_len=10, max_use

ata: Automated Test Assembly (ATA)

CRAN
Rata: Automated Test Assembly

:3)$freq))
## ex. 4: two 10-item forms, max TIF over (-1, 1), consider item sets
x <- ata(pool, 2, test_len=10, max_use

ata: Automated Test Assembly (ATA)

CRAN
xxIRT: Item Response Theory and Computer-Based Testing in R

), consider item sets
x <- ata(pool, 2, len=10, max_use=1, group="group")
x <- ata_obj_relative(x, seq(-1, 1, .5), 'max')

ata: Automated Test Assembly (ATA)

GITHUB
xluo11/xxIRT: Item Response Theory and Computer-Based Testing

), consider item sets
x <- ata(pool, 2, len=10, max_use=1, group="group")
x <- ata_obj_relative(x, seq(-1, 1, .5), 'max')

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

method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns

WA: Weighted averaging (WA) regression and calibration

GITHUB
nsj3/rioja: Analysis of Quaternary Science Data

method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns

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)

of two: di a column-vector containing
deficit indexes for each individual and
columns (rescaled if flag rescale was set

vendor: vendor

GITHUB
bcBusinessStats/data1135: Data for Business Statistics OPER1135

R: vendor
vendorR Documentation
vendor

vendors: Retrieves the set of all vendors available.

GITHUB
ALShum/Retsly: R Interface to Retsly Real Estate Data API

R: Retrieves the set of all vendors available.
vendorsR Documentation
Retrieves the set of all vendors available

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

CRAN
di: Deficit Index (DI)

of two: di a column-vector containing
deficit indexes for each individual and
columns (rescaled if flag rescale was set

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

AtA: Computing A'A

CRAN
penppml: Penalized Poisson Pseudo Maximum Likelihood Regression

: false, macros }); }
return;
AtAR Documentation

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

ata: Calculate Age-to-Age Factors

GITHUB
edalmoro/ChainLadderQuantileV1: Statistical Methods and Models for Claims Reserving in General Insurance

ata(Triangle, NArow.rm = TRUE, colname.sep = "-",
colname.order=c("ascending","descending"))
Arguments

ata: Calculate Age-to-Age Factors

CRAN
ChainLadder: Statistical Methods and Models for Claims Reserving in General Insurance

triangle.
Usage
ata(Triangle, NArow.rm = TRUE, colname.sep = "-",

ata: Age to Age factors

GITHUB
ArnaudBu/ReservingLad: Reserving for Non Life Insurance

R: Age to Age factors
ataR Documentation
Age to Age factors