Package: prodest 0.1.1

prodest: Production Function Estimation

TFP estimation with the control function approach.

Authors:Gabriele Rovigatti [aut,cre]

prodest_0.1.1.tar.gz
prodest_0.1.1.zip(r-4.7-any)prodest_0.1.1.zip(r-4.6-any)prodest_0.1.1.zip(r-4.5-any)
prodest_0.1.1.tgz(r-4.6-any)prodest_0.1.1.tgz(r-4.5-any)
prodest_0.1.1.tar.gz(r-4.7-any)prodest_0.1.1.tar.gz(r-4.6-any)
prodest_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
prodest/json (API)

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

Bug tracker:https://github.com/gabrielerovigatti/prodest/issues

On CRAN:

Conda:

estimationproductivitystatatfp

5.05 score 45 stars 25 scripts 405 downloads 21 exports 30 dependencies

Last updated from:9e5364c5a0. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR139
source / vignettesOK193
linux-release-x86_64ERROR159
macos-release-arm64ERROR121
macos-oldrel-arm64ERROR198
windows-develERROR101
windows-releaseERROR106
windows-oldrelERROR106
wasm-releaseOK109

Exports:block.boot.resamplecheckMcoeffinalACFfinalOPLPfinalWRDGFSresgACFgOPLPgWRDGlagPanelomegapanelSimprintProdprodestACFprodestLPprodestOPprodestWRDGprodestWRDG_GMMweightMwithinvar

Dependencies:clicodetoolsDEoptimdigestdplyrfuturefuture.applygenericsglobalsgluelatticelifecyclelistenvmagrittrMatrixnumDerivparallellypillarpkgconfigR6RcppRcppArmadillorlangRsolnptibbletidyselecttruncnormutf8vctrswithr