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List:       r-help
Subject:    Re: [R] IGCI implemented in R package ?
From:       Jeff Newmiller <jdnewmil () dcn ! davis ! ca ! us>
Date:       2022-11-23 17:47:29
Message-ID: 847508C3-76D3-476D-A5BB-37172DC0B9C3 () dcn ! davis ! ca ! us
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Ahhh, but _using_ it... there's the rub. Gotta learn about virtual environm=
ents or you could break the base python install.

On November 23, 2022 9:17:07 AM PST, Bert Gunter <bgunter.4567@gmail.com> w=
rote:
>Well, see the 'reticulate' package and various support/hints for using it
>via an rseek.org search, e.g. on 'R python packages'. This *might* enable
>you to use the python code. Or not -- you may have already considered this
>and found it unworkable. I can say for sure that installing python is
>simple if you need to do that.
>
>Bert
>
>
>On Wed, Nov 23, 2022 at 8:47 AM varin sacha via R-help <r-help@r-project.o=
rg>
>wrote:
>
>> Eric,
>>
>> I really thank you a lot for your response.
>> However, if I am not wrong, it is implemented in python. The
>> implementation is available on github; I would need an R wrapper. Does it
>> exist ?
>>
>> Best
>> Sacha
>>
>> Envoy=C3=A9 de mon iPhone
>>
>> > Le 21 nov. 2022 =C3=A0 20:36, Eric Berger <ericjberger@gmail.com> a =
=C3=A9crit :
>> >
>> > =EF=BB=BF
>> > Hi Sacha,
>> > My search turned up the Causal Discovery Toolbox which includes IGCI
>> among 10 (or more) methods.
>> > This site includes both Python and R resources and seems to be quite
>> rich - hopefully you will find something useful.
>> > Here's the link:
>> >
>> https://fentechsolutions.github.io/CausalDiscoveryToolbox/html/index.html
>> >
>> > HTH,
>> > Eric
>> >
>> >
>> >> On Mon, Nov 21, 2022 at 9:00 PM varin sacha via R-help <
>> r-help@r-project.org> wrote:
>> >> Dear R experts,
>> >>
>> >> Google is very often my friend but this time it does not !
>> >> Are you aware of an R package in which the directed causal discovery
>> algorithm called the Information Geometric Causal Inference (IGCI) of
>> (Daniusis et al., 2010) is implemented ?
>> >>
>> >> Best,
>> >> Sacha
>> >>
>> >> Envoy=C3=A9 de mon iPhone
>> >> ______________________________________________
>> >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> >> https://stat.ethz.ch/mailman/listinfo/r-help
>> >> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> >> and provide commented, minimal, self-contained, reproducible code.
>>
>>         [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>	[[alternative HTML version deleted]]
>
>______________________________________________
>R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide http://www.R-project.org/posting-guide.ht=
ml
>and provide commented, minimal, self-contained, reproducible code.

-- =

Sent from my phone. Please excuse my brevity.

______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
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