Gorontalo: Food Prices in Gorontalo

CRAN
ifpd: Indonesia Food Prices Data

R: Food Prices in Gorontalo
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

Gun: Methods for firing naval guns

CRAN
nlme: Linear and Nonlinear Mixed Effects Models

R: Methods for firing naval guns
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

Gun: Methods for firing naval guns

CRAN
MEMSS: Data Sets from Mixed-Effects Models in S

R: Methods for firing naval guns
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

Guns: More Guns, Less Crime?

CRAN
AER: Applied Econometrics with R

R: More Guns, Less Crime?
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

Gun: Methods for firing naval guns

RFORGE
MEMSS: Data sets from Mixed-effects Models in S

R: Methods for firing naval guns
GunR Documentation
Methods for firing naval guns

Gun: Methods for firing naval guns

GITHUB
bbolker/nlme: Linear and Nonlinear Mixed Effects Models

R: Methods for firing naval guns
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

axe-xrf: Axing a xrf.

CRAN
butcher: Model Butcher

R: Axing a xrf.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

serVis: View and/or share LDAvis in a browser

CRAN
LDAvis: Interactive Visualization of Topic Models

View and/or share LDAvis in a browser.
Usage
serVis(json, out.dir = tempfile(), open.browser = interactive(),

serVis: View and/or share LDAvis in a browser

GITHUB
cpsievert/LDAvis: Interactive Visualization of Topic Models

View and/or share LDAvis in a browser.
Usage
serVis(json, out.dir = tempfile(), open.browser = interactive(),

xrf: eXtreme RuleFit

CRAN
xrf: eXtreme RuleFit

Package: xrf
Title: eXtreme RuleFit
Version: 0.3.1

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

xrf: Fit an eXtreme RuleFit model

CRAN
xrf: eXtreme RuleFit

for building an "eXtreme RuleFit" model.
See xrf.formula for preferred entry point
Usage

guns: The three messages to be decoded

GITHUB
BetaAndBit/BetaBitRgame: Mini Games from Adventures of Beta and Bit

R: The three messages to be decoded.
const macros = { "\\R": "\\textsf{R

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

NYTimes/gun-sales: Statistical Analysis of Monthly Background Checks of Gun Purchases

GITHUB
NYTimes/gun-sales: Statistical Analysis of Monthly Background Checks of Gun Purchases

Package: gunsales
Type: Package
Title: Statistical Analysis of Monthly Background Checks of Gun Purchases

out/gun-sales-by-year.csv

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")