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
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

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

LA: Lioness Algorithm (LA)

CRAN

LA: Lioness Algorithm (LA)

Package: LA
Type: Package
Title: Lioness Algorithm (LA)

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

, 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

real-time-rail-predictions: Real-Time Rail Predictions

GITHUB

zamorarr/wmata: WMATA API

R: Real-Time Rail Predictions
real-time-rail-predictionsR Documentation
Real-Time Rail Predictions

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

rail-station-information: Rail Station Information

GITHUB

zamorarr/wmata: WMATA API

R: Rail Station Information
rail-station-informationR Documentation
Rail Station Information

la: The blood flow dataset

CRAN

gamlss.nl: Fitting non linear parametric GAMLSS models

(la)
Format
A data frame with 251 observations on the following 4 variables.