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

industries: WIOD industries

CRAN
wiod: World Input Output Database 1995-2011

R: WIOD industries
industriesR Documentation
WIOD industries

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

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/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

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

modern: A data frame of modern and contemporary historical and...

CRAN
despair: Motivational Quotes and Shakespearean Bard–bits for Personal Projects

R: A data frame of modern and contemporary historical and...
const macros = { "\\R": "\\textsf{R}", "\\code

industrial: Industrial bivariate dataset

CRAN
mpcv: Multivariate Process Capability Vector

R: Industrial bivariate dataset
industrialR Documentation
Industrial bivariate dataset

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

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

Modern: Agricultural Data gathered in an experimental setting

GITHUB
christianu7/aistats2020smi: Semi-Modular Inference

in an experimental setting
Description
The Modern data were gathered in an experimental setting in which manure level

module_energy_LA132.industry: module_energy_LA132.industry

GITHUB
JGCRI/gcamdata: Build the GCAM Input Datasets

R: module_energy_LA132.industry
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

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

module_energy_LA132.industry: module_energy_LA132.industry

GITHUB
bpbond/gcamdata: Build the GCAM Input Datasets

R: module_energy_LA132.industry
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

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")

WA: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN
SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")