Package: ArCo 0.3-1

ArCo: Artificial Counterfactual Package

Set of functions to analyse and estimate Artificial Counterfactual models from Carvalho, Masini and Medeiros (2016) <doi:10.2139/ssrn.2823687>.

Authors:Yuri R. Fonseca [aut], Ricardo Masini [aut], Marcelo C. Medeiros [aut], Gabriel F. R. Vasconcelos [aut, cre]

ArCo_0.3-1.tar.gz
ArCo_0.3-1.zip(r-4.7)ArCo_0.3-1.zip(r-4.6)ArCo_0.3-1.zip(r-4.5)
ArCo_0.3-1.tgz(r-4.6-any)ArCo_0.3-1.tgz(r-4.5-any)
ArCo_0.3-1.tar.gz(r-4.7-any)ArCo_0.3-1.tar.gz(r-4.6-any)
ArCo_0.3-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ArCo/json (API)

# Install 'ArCo' in R:
install.packages('ArCo', repos = c('https://gabrielrvsc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gabrielrvsc/arco/issues

Datasets:
  • data.q1 - A generated dataset used in the examples
  • data.q2 - A dataset used in the examples
  • inflationNFP - Dataset used on the empirical example by Carvalho, Masini and Medeiros (2016).

On CRAN:

Conda:

3.40 score 5 stars 6 scripts 634 downloads 3 exports 11 dependencies

Last updated from:ef29929115. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE121
source / vignettesOK135
linux-release-x86_64NOTE124
macos-release-arm64NOTE191
macos-oldrel-arm64NOTE152
windows-develNOTE82
windows-releaseNOTE67
windows-oldrelNOTE86
wasm-releaseOK81

Exports:estimate_t0fitArCopanel_to_ArCo_list

Dependencies:bootcodetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival