Warehouse: The Warehouse class

GITHUB

felixlindemann/HNUORTools: Operations Research Tools

R: The Warehouse class
WarehouseR Documentation
The Warehouse class

warehouse: Benchmark experiment warehouse

CRAN

benchmark: Benchmark Experiments Toolbox

R: Benchmark experiment warehouse
warehouseR Documentation
Benchmark experiment warehouse

Rail: Evaluation of Stress in Railway Rails

GITHUB

bbolker/nlme: Linear and Nonlinear Mixed Effects Models

R: Evaluation of Stress in Railway Rails
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

Rail: Evaluation of Stress in Railway Rails

CRAN

nlme: Linear and Nonlinear Mixed Effects Models

R: Evaluation of Stress in Railway Rails
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

Rail: Evaluation of Stress in Railway Rails

RFORGE

MEMSS: Data sets from Mixed-effects Models in S

R: Evaluation of Stress in Railway Rails
RailR Documentation
Evaluation of Stress in Railway Rails

Rail: Evaluation of Stress in Railway Rails

CRAN

MEMSS: Data Sets from Mixed-Effects Models in S

R: Evaluation of Stress in Railway Rails
RailR Documentation
Evaluation of Stress in Railway Rails

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

rails: Download a national rails shapefile into R

CRAN

tigris: Load Census TIGER/Line Shapefiles

R: Download a national rails shapefile into R
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

Warehouse: A cache for Pnets or Pnodes

GITHUB

ralmond/Peanut: Parameterized Bayesian Networks, Abstract Classes

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

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: 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: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN

SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

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)

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

dbca-wa/turtleviewer: WA Turtle Data Viewer

GITHUB

dbca-wa/turtleviewer: WA Turtle Data Viewer

Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102