Title: Product-limit estimation for censored event history analysis
for censored event history (survival) analysis. Kaplan-Meier and

Title: Product-Limit Estimation for Censored Event History Analysis
Imports: Rcpp (>= 0.11.5), stats, graphics, survival, KernSmooth, lava

Imports: Rcpp (>= 0.11.5), stats, grDevices, graphics, survival,

Package: productivity
Version: 0.1.0
Date: 2016-11-14
Title: Indices of Productivity Using Data Envelopment Analysis (DEA)
Authors@R: c(
person("K Hervé", "Dakpo", role = "aut"),
person("Yann", "Desjeux", , "yann.desjeux@inra.fr", role = c("aut","cre")),
person("Laure", "Latruffe", role = "aut"))
Maintainer: Yann Desjeux <yann.desjeux@inra.fr>
Description:
Various transitive measures of productivity and profitability, in levels and changes, are computed.
In addition to the classic Malmquist productivity index, the 'productivity' package contains also the
multiplicatively complete and transitive Färe-Primont and Lowe indices.
These indices are also decomposed into different components providing insightful information on
the sources of productivity and profitability improvements.
In the use of Malmquist productivity index, the technological change index is further decomposed
into bias technological change components.
For the transitive Färe-Primont and Lowe measures, it is possible to rule out technological change.
The package also allows to prohibit negative technological change.
All the 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).
The package allows parallel computing by default, depending on the user's computer configuration.
Depends: R (>= 2.16)
Imports: doParallel, foreach, parallel, Rglpk, utils
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2016-11-14 09:44:06 UTC; ydesjeux
Author: K Hervé Dakpo [aut],
Yann Desjeux [aut, cre],
Laure Latruffe [aut]
Repository: CRAN
Date/Publication: 2016-11-14 11:32:48

Description: Framework for visualising tables of counts, proportions
and probabilities. The framework is called product plots, alluding to
the computation of area as a product of height and width, and the
statistical concept of generating a joint distribution from the
product of conditional and marginal distributions. The framework,
with extensions, is sufficient to encompass over 20 visualisations
previously described in fields of statistical graphics and 'infovis',
including bar charts, mosaic plots, 'treemaps', equal area plots and
person("Heike", "Hofmann", , "heike.hofmann@gmail.com", role = "aut")