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

ata: Automated Test Assembly (ATA)

GITHUB

xluo11/Rata: Automated Test Assembly

R: Automated Test Assembly (ATA)
ataR Documentation
Automated Test Assembly (ATA)

ata: Automated Test Assembly (ATA)

CRAN

Rata: Automated Test Assembly

R: Automated Test Assembly (ATA)
ataR Documentation
Automated Test Assembly (ATA)

ata: Automated Test Assembly (ATA)

CRAN

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

R: Automated Test Assembly (ATA)
ataR Documentation
Automated Test Assembly (ATA)

ata: Automated Test Assembly (ATA)

GITHUB

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

R: Automated Test Assembly (ATA)
ataR Documentation
Automated Test Assembly (ATA)

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

DAKS: Data Analysis and Knowledge Spaces

CRAN

DAKS: Data Analysis and Knowledge Spaces

Package: DAKS
Version: 2.1-3
Date: 2016-06-05

man/DAKS-package.Rd

DAKS-package: Data Analysis and Knowledge Spaces: The R Package DAKS

CRAN

DAKS: Data Analysis and Knowledge Spaces

R: Data Analysis and Knowledge Spaces: The R Package DAKS
DAKS-packageR Documentation
Data Analysis and Knowledge

AtA: Computing A'A

CRAN

penppml: Penalized Poisson Pseudo Maximum Likelihood Regression

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

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

GITHUB

edalmoro/ChainLadderEDM: 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

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: trans matrix * matrix

CRAN

o2plsda: Multiomics Data Integration

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

ata: Automated Test Assembly

CRAN

ata: Automated Test Assembly

Package: ata
Title: Automated Test Assembly
Version: 1.1.1

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")