New package: Regress v0.1.0

[JuliaRegistrator]

• Registering package: Regress
• Repository: https://github.com/gragusa/Regress.jl
• Created by: @gragusa
• Version: v0.1.0
• Commit: 909c808fc1c55d61074f1a7e37d71ddfd3c386c0
• Reviewed by: @gragusa
• Reference: gragusa/Regress.jl@909c808#commitcomment-173533669
• Release notes:

This is the first release.

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[gragusa]

The package name is "Similar to RegNets. Damerau-Levenshtein distance 2 is at or below cutoff of 2.". I do not think Regress will be confused with RegNets. [noblock]

[goerz]

This is a fork of FixedEffectModels.jl with additional features and improvements.

Could you contribute these back to FixedEffectModels? Forks of existing packages should usually not be registered, or at least not without the explicit approval of the maintainers of the original package @matthieugomez

[matthieugomez]

Indeed — forking and diverging without attempting to contribute back to the original project feels like a missed opportunity.

[gragusa]

This started as a fork for my research. Now they have greatly diverged and trying to PR to FixedEffectsModels.jl would be impossible as not much is left of the original code (mostly the fixed effects handling). If registering is a problem I can use the package from a local repository no prob. Sent from Outlook for iOS<https://aka.ms/o0ukef>

…

________________________________ From: Matthieu Gomez ***@***.***> Sent: Saturday, December 27, 2025 12:45:30 PM To: JuliaRegistries/General ***@***.***> Cc: Giuseppe Ragusa ***@***.***>; Mention ***@***.***> Subject: Re: [JuliaRegistries/General] New package: Regress v0.1.0 (PR #145068) [https://avatars.githubusercontent.com/u/6223837?s=20&v=4]matthieugomez left a comment (JuliaRegistries/General#145068)<#145068 (comment)> Indeed — forking and diverging without attempting to contribute back to the original project feels like a missed opportunity. — Reply to this email directly, view it on GitHub<#145068 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AAD5DASQ5NMWFS4WYR2HSAD4DZWNVAVCNFSM6AAAAACQCDPNWKVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZTMOJTHEZDKNBUGY>. You are receiving this because you were mentioned.Message ID: ***@***.***>

[Arpit-Babbar]

This started as a fork for my research. Now they have greatly diverged and trying to PR to FixedEffectsModels.jl would be impossible as not much is left of the original code (mostly the fixed effects handling). If registering is a problem I can use the package from a local repository no prob.

Another option is to use the features of FixedEffectModels.jl through Julia's package manager. The Trixi.jl community have several packages like this, e.g., https://github.com/trixi-framework/TrixiShallowWater.jl.

If you are using functions that are not a part of the API, requesting the developers to make it a part of the API will be a good idea.

[gragusa]

I cannot use the features as the package does more things using FixedEffects.jl but in a different ways.