 open-discussion |
General Discussion |
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| help |
Get Public Help |
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| developers |
Project Developer Discussion |
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2009-06-25 14:55 |
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| frontier-0.99-is-not-backward-compatible |
We are approaching the first stable version (1.0) of the frontier package, which provides tools for microeconomic Stochastic Frontier Analysis (SFA). I have uploaded a kind of beta release (version 0.99) of this package to CRAN. The most important differences to version 0.9 affect the user interface. I have modified the package so that it is (hopefully) simpler to use and the functions are more similar to other R functions. Unfortunately, these changes make the new version NOT backward compatible. The most significant changes are reported below. A full ChangeLog is available in the log messages of the SVN repository on R-Forge. Feedback about this package is highly appreciated. Please report any bugs, suggestions, feature requests, comments, and questions in the forums and trackers on R-Forge.
CHANGES IN VERSION 0.99-0
* corrected and considerably improved documentation of function "fontier"
* changed order of arguments of function "frontier"
* removed arguments "crossSectionName" and "timePeriodName" from function "frontier": in case of cross-section data, these variables (information) are not needed, and in case of panel data, the information on the panel structure
has to be added to the data set by the function "plm.data" of the "plm" package
* argument "modelType" of function "frontier" must be "ECF" or "EEF" now
* replaced argument "funtionType" of function "frontier" by argument "ineffDecrease"
* renamed argument "eta" of function "frontier" as "timeEffect"
* split argument "mu" of function "frontier" into "truncNorm" and "zIntercept"
* increased default value of argument "maxit" of function "frontier" to 1000
* renamed argument "step1" of function "frontier" as "searchStep"
* renamed argument "tol2" of function "frontier" as "searchTol"
* replaced argument "indic" of function "frontier" by "searchScale"
* renamed argument "gridno" of function "frontier" as "gridSize"
* renamed argument "igrid2" of function "frontier" as "gridDouble"
* renamed argument "iprint" of function "frontier" as "printIter"
* removed arguments "qxNames" and "quadHalf" from function "frontier", because quadratic or translog frontiers can be estimated with function
"frontierQuad" now
* added "logLik" method for objects of class "frontier"
* added function "frontierQuad" for estimating quadratic and translog frontiers
* added function "frontierTranslogRay" for estimating stochastic ray translog frontier functions
* added the generic function "efficiencies" and corresponding methods for default objects and objects of class "frontier"
* added "elas" method for objects of class "frontierQuad"
* function frontier() and frontierQuad() return the (matched) call now
* the matrix of efficiency estimates returned by "frontier" has row names (cross section units) and possibly column names (time period) now
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| version-0.995-of-the--frontier--package-is-ready |
Version 0.995 of the frontier package is ready for publication now. Binary and source packages will be available on R-Forge and CRAN soon.
This version has several improvements compared to previous versions.
Most notably, the new function "sfa" provides a user-interface for Stochastic Frontier Analysis (SFA) that is much more similar to other regression tools in R (e.g. "lm") than the old function "frontier". However, the latter function is kept for compatibility with older versions of this package; it is simply a wrapper function to "sfa" now,
Moreover, there are following significant changes in the new version:
* functions "sfa" (and hence also "frontier", "frontierQuad" etc.) no longer calculate and return efficiency estimates
* function "sfa" no longer has argument "logDepVar", because this information is irrelevant for the estimation
* method "efficiencies" for objects of class "frontier" calculates efficiency estimates now (instead of just extracting them)
* method "efficiencies" for objects of class "frontier" has the argument "logDepVar" now, which indicates whether the dependent variable is logged (this information is required to calculate the efficiency estimates)
* method "summary" for objects of class "frontier" calculates and returns the efficiency estimates now (the calculation is done by the "efficiencies" method, see above)
* method "summary" for objects of class "frontier" has the argument "logDepVar" now, which indicates whether the dependent variable is logged (this information is required to calculate the efficiency estimates)
* added "residuals" method for objects of class "frontier" to obtain the residuals
* fixed bug in the Fortran subroutine "der1" that calculates the derivatives of the likelihood function of the "Error Components Frontier" (ECF): in case of unbalanced panel data, uninitialized values (for unobserved observations) were used in the calculation so that the derivatives were wrong
* fixed bug in the Fortran code: in case of unbalanced panel data, the efficiency estimates of the missing observations were set to the previously calculated efficiency estimate (mostly the efficiency estimate of the previous firm in the same year)
* added further tests in /tests/frontierTest.R
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| summer-course--econometric-production-analysis-with-r |
I will give a summer course in econometric production analysis with R (e.g. using the "frontier" package) in Portugal during the first week of September:
http://cimo.esa.ipb.pt/r-analysis/ |
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| introduction-to-econometric-production-analysis-with-r |
I have made my collection of (lecture) notes "Introduction to Econometric Production Analysis with R" publicly available on my website:
http://www.arne-henningsen.name/
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| introduction-to-econometric-production-analysis-with-r |
I have made my collection of (lecture) notes "Introduction to Econometric Production Analysis with R" publicly available on my website:
http://www.arne-henningsen.name/ |
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1970-01-01 00:00 |
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| version-1.0-of-the-r-package--frontier--released |
The R package "frontier" provides tools for analysing efficiency and productivity using the "stochastic frontier" approach. This R package is based on Tim Coelli's DOS software "FRONTIER 4.1" and has been available on CRAN for almost 5 years now. After many improvements of the source code and a few changes of the user interface in the beginning, the code and the user interface have been rather stable in the previous 2.5 years. The "frontier" package has been used by many R users and many applications have proven its reliability. Therefore, I have called the latest version of this package "1.0." This version is now available on CRAN. It is almost identical to the previous versions but it includes citation information and the argument "farrell" of efficiencies.frontier() has been renamed as "minusU" and the argument "farrell" of summary.frontier() has been renamed as "effMinusU". The argument "farrell" can still be used for maintaining backward-compatibility. |
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| tutorial--using-r-for-agricultural-economics-research- |
Tutorial "Using R for Agricultural Economics Research" at the Congress of the European Association of Agricultural Economists (EAAE) in Ljubljana (Slovenia) on August 26, 2014.
http://www.eaae2014.si/congress/pre-congress-workshop/workshop-3 |
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