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Last data update: 2014.03.03

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mhurdle : Multiple hurdle Tobit models

Package: mhurdle
Version: 1.0-1
Date: 2013-12-27
Title: Multiple hurdle Tobit models
Authors@R: c(person("Yves", "Croissant", role = c("aut", "cre"), email = "yves.croissant@univ-reunion.fr"),
person("Fabrizio", "Carlevaro", role = "aut", email = "fabrizio.carlevaro@unige.ch"),
person("Stephane", "Hoareau", role = "aut", email = "sjlhoaro@univ-reunion.fr"))
Depends: R (>= 2.10), Formula, truncreg, maxLik, pbivnorm
Suggests: survival
Description: Estimation of models with zero left-censored variables.
Null values may be caused by a selection process, insufficient
resources or infrequency of purchase.
License: GPL (>= 2)
URL: http://www.r-project.org
Author: Yves Croissant [aut, cre],
Fabrizio Carlevaro [aut],
Stephane Hoareau [aut]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>
Repository: CRAN
Repository/R-Forge/Project: mhurdle
Repository/R-Forge/Revision: 34
Repository/R-Forge/DateTimeStamp: 2013-12-27 18:17:53
Date/Publication: 2013-12-28 08:16:14
Packaged: 2013-12-27 19:16:24 UTC; rforge
NeedsCompilation: no

● Data Source: CranContrib
● Cran Task View: Econometrics
● 0 images, 3 functions, 1 datasets
● Reverse Depends: 0

StratSel : Strategic Selection Estimator

Package: StratSel
Type: Package
Title: Strategic Selection Estimator
Version: 1.2
Author: Lucas Leemann
Maintainer: Lucas Leemann <lleemann@gmail.com>
Description: Provides functions to estimate a strategic selection estimator. A strategic selection estimator is an agent error model in which the two random components are not assumed to be orthogonal. In addition this package provides generic functions to print and plot objects of its class as well as the necessary functions to create tables for LaTeX. There is also a function to create dyadic data sets.
License: GPL (>= 2)
Depends: R (>= 3.2.0), MASS, memisc, Formula, mnormt, pbivnorm
LazyData: TRUE
NeedsCompilation: no
Packaged: 2016-05-09 16:18:30 UTC; lleemann
Repository: CRAN
Date/Publication: 2016-05-10 10:30:29

● Data Source: CranContrib
● 0 images, 18 functions, 1 datasets
● Reverse Depends: 0

KrigInv : Kriging-based Inversion for Deterministic and Noisy Computer Experiments

Package: KrigInv
Type: Package
Title: Kriging-based Inversion for Deterministic and Noisy Computer
Experiments
Version: 1.3.1
Date: 2014-12-22
Author: Clement Chevalier, Victor Picheny and David Ginsbourger
Maintainer: Clement Chevalier <clement.chevalier@math.uzh.ch>
Depends: DiceKriging, pbivnorm, rgenoud, randtoolbox
Imports:
Suggests:
Description: Criteria and algorithms for sequentially estimating level sets of a multivariate numerical function, possibly observed with noise.
URL:
http://www.sciencedirect.com/science/article/pii/S0167947313001060,
http://www.clementchevalier.com
License: GPL-3
LazyLoad: yes
Packaged: 2014-12-22 09:55:13 UTC; chevalier
Repository: CRAN
Date/Publication: 2014-12-23 00:30:22
NeedsCompilation: no

● Data Source: CranContrib
● 21 images, 41 functions, 0 datasets
● Reverse Depends: 0