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() {

vendor: vendor

GITHUB

bcBusinessStats/data1135: Data for Business Statistics OPER1135

R: vendor
vendorR Documentation
vendor

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

vendor: Vendor the cpp4r and armadillo4r headers

CRAN

armadillo4r: An 'Armadillo' Interface

R: Vendor the cpp4r and armadillo4r headers
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

xrf: Fit an eXtreme RuleFit model

CRAN

xrf: eXtreme RuleFit

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

vendor: Vendor renv in an R package

CRAN

renv: Project Environments

R: Vendor renv in an R package
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

vendor: Vendor the cpp4r headers

CRAN

cpp4r: Header-Only 'C++' and 'R' Interface

R: Vendor the cpp4r headers
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

SumateraBarat: Food Prices in Sumatera Barat

CRAN

ifpd: Indonesia Food Prices Data

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

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")

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

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