xl2: The lead 'l' vehicle location 'xl2' at time 't2'.

CRAN
cartools: Tools for Understanding Highway Performance

R: The lead 'l' vehicle location 'xl2' at time 't2'.
xl2R Documentation
The lead l vehicle location xl2 at time t2

xl2: The lead 'l' vehicle location 'xl2' at time 't2'.

GITHUB
PJOssenbruggen/Basic: Tools for Understanding Highway Performance

R: The lead 'l' vehicle location 'xl2' at time 't2'.
xl2R Documentation
The lead l vehicle location xl2 at time t2

near: near

GITHUB
bips-hb/pvm: PharmacoVigilance Methods

R: near
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

me: me

GITHUB
soilmapper/mapsRinteractive: Local Adaptation and Evaluation of Digital Soil Maps

R: me
meR Documentation
me

me: me

CRAN
mapsRinteractive: Local Adaptation and Evaluation of Raster Maps

R: me
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

me: me

CRAN
valmetrics: Metrics and Plots for Model Evaluation

R: me
meR Documentation
me

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() {

near: Who or What is Near?

RFORGE
mpia: Meaningful Purposive Interaction Analysis

R: Who or What is Near?
nearR Documentation
Who or What is Near?

ME: model error (ME)

GITHUB
belzheng/StatComp21075: PACS procedure for variable selection

R: model error (ME)
MER Documentation
model error (ME)

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

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

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

near: Round to nearest multiple

GITHUB
nim-ach/ASQ3: data from the ASQ-3 study from CADI-UMAG

used inside plot_gam() function.
It takes a i number and rounds it to the near j multiple.
Usage

near: num_wins

GITHUB
systats/deeplyr: Pretrained keras models for predicting ideology from tweets.

R: num_wins
nearR Documentation
num_wins

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")