Yann Desjeux
2016-Dec-06 13:32 UTC
[R] [R-pkgs] New R package on CRAN: productivity (0.1.0)
Dear R users, I am happy to announce that the R package 'productivity: Indices of Productivity Using Data Envelopment Analysis' is now available on CRAN (https://cran.r-project.org/package=productivity). Productivity allows computing various transitive measures of productivity and profitability, in both levels and changes. In addition to the classic Malmquist productivity index, 'productivity' also contains the multiplicatively complete and transitive F?re-Primont and Lowe indices. All estimations are based on the nonparametric Data Envelopment Analysis (DEA) and several assumptions regarding returns to scale are available (i.e. CRS, VRS, NIRS, NDRS). Besides, the package allows parallel computing. I would certainly appreciate feedback, comments and suggestions from more experienced packagers and R users at https://r-forge.r-project.org/projects/productivity/ Best regards, Yann [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages
Dear R users, I am happy to announce that the R package 'sfadv: Advanced Methods for Stochastic Frontier Analysis' is now available on CRAN (https://CRAN.R-project.org/package=sfadv). This package allows stochastic frontier analysis with advanced methods. Particularly it implements newly developped method proposed by Latruffe et al. (2017) <doi:10.1093/ajae/aaw077> considering stochastic frontier analysis with technical inefficiency effects and endogeneity of one input. Best regards, Yann