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Data Envelopment Analysis [Feature Request]:

Open DevaGitH opened this issue 1 year ago • 2 comments

Description

Requesting for integration of R or Python features for conducting Data Envelopment Analysis

Purpose

To look at efficiency parameters of decision making units

Use-case

No response

Is your feature request related to a problem?

No response

Is your feature request related to a JASP module?

No response

Describe the solution you would like

No response

Describe alternatives that you have considered

No response

Additional context

Request for integration of the above feature in the package.

DevaGitH avatar Dec 19 '23 04:12 DevaGitH

From: Dev D @.> Date: Sat, Jan 6, 2024 at 8:10 PM Subject: Re: [jasp-stats/jasp-issues] Data Envelopment Analysis [Feature Request]: (Issue #2478) To: jasp-stats/jasp-issues < @.>

Madam / Dear Sir,

Greetings and hope this finds you well.

First and foremost, wish you a very happy new year.

AFAIK, the packages in R which are suggested are deaR, rDEA and FEAR.

Thanks and best regards,

Deva

@.***

On Fri, Dec 29, 2023 at 10:00 PM Thomas Langkamp @.***> wrote:

Can you detail whicht R-Packages may be involved here and can you point to papers detailing the analysis. Thx!

— Reply to this email directly, view it on GitHub https://github.com/jasp-stats/jasp-issues/issues/2478#issuecomment-1872204176, or unsubscribe https://github.com/notifications/unsubscribe-auth/BEZG6NT3ZWU2FUOZYPXWC33YL3VYXAVCNFSM6AAAAABA2R3KZ6VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQNZSGIYDIMJXGY . You are receiving this because you authored the thread.Message ID: @.***>

DevaGitH avatar Jan 06 '24 18:01 DevaGitH

@DevaGitH Thx for the R-Packages: deaR, rDEA and FEAR

DEA seems useful for e.g. logistics modeling and efficiency measurement. The models seem cluster and network based, thus I assigned vandenmann and koen.

I found a shiny-app for deaR https://www.mdpi.com/2071-1050/13/12/6774# Have you used that one or can you recommend it? Once a dev has time to implement DEA in JASP he might want to have a look, how its implemented in this shiny-app.

tomtomme avatar Feb 20 '24 09:02 tomtomme