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

5.13 score 44 stars 31 scripts 590 downloads 21 exports 30 dependencies

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

TargetResultTimeFilesSyslog
linux-develERROR137
source / vignettesOK200
linux-releaseERROR119
macos-releaseERROR120
macos-oldrelERROR164
windows-develERROR93
windows-releaseERROR106
windows-oldrelERROR105
wasm-releaseOK103

Exports:block.boot.resamplecheckMcoeffinalACFfinalOPLPfinalWRDGFSresgACFgOPLPgWRDGlagPanelomegapanelSimprintProdprodestACFprodestLPprodestOPprodestWRDGprodestWRDG_GMMweightMwithinvar

Dependencies:clicodetoolsDEoptimdigestdplyrfuturefuture.applygenericsglobalsgluelatticelifecyclelistenvmagrittrMatrixnumDerivparallellypillarpkgconfigR6RcppRcppArmadillorlangRsolnptibbletidyselecttruncnormutf8vctrswithr