Jambi: Food Prices in Jambi

CRAN

ifpd: Indonesia Food Prices Data

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

Jambi: Jambi MODIS Data

GITHUB

jtrinka/Rfssa_dev: Functional Singular Spectrum Analysis

R: Jambi MODIS Data
JambiR Documentation
Jambi MODIS Data

industries: WIOD industries

CRAN

wiod: World Input Output Database 1995-2011

R: WIOD industries
industriesR Documentation
WIOD industries

industRial: industRial: companion package to the book "industRial data...

CRAN

industRial: Data, Functions and Support Materials from the Book "industRial Data Science"

R: industRial: companion package to the book "industRial data...
industRialR Documentation
industRial: companion

industry: Industrial development

CRAN

dlsem: Distributed-Lag Linear Structural Equation Models

R: Industrial development
industryR Documentation
Industrial development

industRial: industRial: companion package to the book "industRial data...

GITHUB

J-Ramalho/ggspc: Data, Functions and Support Materials from the Book "industRial Data Science"

R: industRial: companion package to the book "industRial data...
industRialR Documentation
industRial: companion

industRial: industRial: companion package to the book "industRial data...

GITHUB

J-Ramalho/industRial: Data, Functions and Support Materials from the Book "industRial Data Science"

R: industRial: companion package to the book "industRial data...
industRialR Documentation
industRial: companion

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

industrial: Industrial bivariate dataset

CRAN

mpcv: Multivariate Process Capability Vector

R: Industrial bivariate dataset
industrialR Documentation
Industrial bivariate dataset

axe-xrf: Axing a xrf.

CRAN

butcher: Model Butcher

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

industRial: Data, Functions and Support Materials from the Book "industRial Data Science"

CRAN

industRial: Data, Functions and Support Materials from the Book "industRial Data Science"

Package: industRial
Type: Package
Date: 2021-06-04

xrf: eXtreme RuleFit

CRAN

xrf: eXtreme RuleFit

Package: xrf
Title: eXtreme RuleFit
Version: 0.3.1

module_energy_L232.industry: module_energy_L232.industry

GITHUB

rohmin9122/gcam-korea-release: Build the GCAM-Korea Input Datasets

R: module_energy_L232.industry
module_energy_L232.industryR Documentation
module_energy_L232.industry

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

module_energy_LA132.industry: module_energy_LA132.industry

GITHUB

rohmin9122/gcam-korea-release: Build the GCAM-Korea Input Datasets

R: module_energy_LA132.industry
module_energy_LA132.industryR Documentation
module_energy_LA132.industry

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")