Package: BLPestimatoR 0.3.4

Daniel Brunner

BLPestimatoR: Performs a BLP Demand Estimation

Provides the estimation algorithm to perform the demand estimation described in Berry, Levinsohn and Pakes (1995) <doi:10.2307/2171802> . The routine uses analytic gradients and offers a large number of implemented integration methods and optimization routines.

Authors:Daniel Brunner, Constantin Weiser, Andre Romahn

BLPestimatoR_0.3.4.tar.gz
BLPestimatoR_0.3.4.tar.gz(r-4.5-noble)BLPestimatoR_0.3.4.tar.gz(r-4.4-noble)
BLPestimatoR_0.3.4.tgz(r-4.4-emscripten)BLPestimatoR_0.3.4.tgz(r-4.3-emscripten)
BLPestimatoR.pdf |BLPestimatoR.html
BLPestimatoR/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

3.21 score 7 stars 23 scripts 265 downloads 11 exports 11 dependencies

Last updated 2 years agofrom:0b10d356bd. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 19 2024
R-4.5-linux-x86_64OKDec 19 2024

Exports:BLP_datadstddelta_wrapdstdtheta_wrapestimateBLPget_elasticitiesgetDelta_wrapgetJacobian_wrapgetShareInfogmm_obj_wrapsimulate_BLP_datasetupdate_BLP_data

Dependencies:data.tableFormulalatticeMatrixmvQuadnumDerivrandtoolboxRcppRcppArmadillorngWELLstatmod

BLPestimatoR - Package for Demand Estimation

Rendered fromblp_intro.Rmdusingknitr::knitron Dec 19 2024.

Last update: 2022-12-03
Started: 2018-08-16