Regarding R doubt on rasch model

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Regarding R doubt on rasch model

shreepad khandve
Hello Team,
I hope you are doing well.
I have one doubt about backend functioning of R command.
Currently I'm working on IRT analysis in python but this function is
implemented in R and in R they have direct rasch model library but no
such library in the Python.

So i wanted to know that is there any way to find the math or formula
behind the specific command of R language.
for eg, summary(PL2.rasch)
after this command you will directly get difficulty and discrimination
values like mentioned below:

Coefficients:
              value      std.err  z.vals
Dffclt.V1    3.1135       9.8208  0.3170
Dffclt.V2   -0.5157       0.8941 -0.5768
Dffclt.V3   -1.3585       3.2062 -0.4237
Dffclt.V4   -1.0032    8649.3103 -0.0001
Dffclt.V5    0.0400    1350.8452  0.0000

So is there any way to find out the math behind this summary command ?


Thanks,
Shreepad

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Re: Regarding R doubt on rasch model

Doran, Harold
You need to say what function in R is creating this. However, how are you getting a discrimination parameter for Rasch?

-----Original Message-----
From: R-help <[hidden email]> On Behalf Of shreepad khandve
Sent: Wednesday, June 19, 2019 2:49 AM
To: [hidden email]
Subject: [R] Regarding R doubt on rasch model

Hello Team,
I hope you are doing well.
I have one doubt about backend functioning of R command.
Currently I'm working on IRT analysis in python but this function is implemented in R and in R they have direct rasch model library but no such library in the Python.

So i wanted to know that is there any way to find the math or formula behind the specific command of R language.
for eg, summary(PL2.rasch)
after this command you will directly get difficulty and discrimination values like mentioned below:

Coefficients:
              value      std.err  z.vals
Dffclt.V1    3.1135       9.8208  0.3170
Dffclt.V2   -0.5157       0.8941 -0.5768
Dffclt.V3   -1.3585       3.2062 -0.4237
Dffclt.V4   -1.0032    8649.3103 -0.0001
Dffclt.V5    0.0400    1350.8452  0.0000

So is there any way to find out the math behind this summary command ?


Thanks,
Shreepad

______________________________________________
[hidden email] 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.

______________________________________________
[hidden email] 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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Re: Regarding R doubt on rasch model

Rui Barradas
In reply to this post by shreepad khandve
Hello,

There are many packages that implement rasch models but I could only
find 2 with summary methods,

package pairwise and
package ltm

See [1] and [2].


To see the source code at an R prompt
print the function code with

summary.<the_object_class>

where <the_object_class> is the output of

class(PL2.rasch)


R is open source and the code is available to download from CRAN.


Hope this helps,

Rui Barradas

Às 07:48 de 19/06/19, shreepad khandve escreveu:

> Hello Team,
> I hope you are doing well.
> I have one doubt about backend functioning of R command.
> Currently I'm working on IRT analysis in python but this function is
> implemented in R and in R they have direct rasch model library but no
> such library in the Python.
>
> So i wanted to know that is there any way to find the math or formula
> behind the specific command of R language.
> for eg, summary(PL2.rasch)
> after this command you will directly get difficulty and discrimination
> values like mentioned below:
>
> Coefficients:
>                value      std.err  z.vals
> Dffclt.V1    3.1135       9.8208  0.3170
> Dffclt.V2   -0.5157       0.8941 -0.5768
> Dffclt.V3   -1.3585       3.2062 -0.4237
> Dffclt.V4   -1.0032    8649.3103 -0.0001
> Dffclt.V5    0.0400    1350.8452  0.0000
>
> So is there any way to find out the math behind this summary command ?
>
>
> Thanks,
> Shreepad
>
> ______________________________________________
> [hidden email] 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.
>

______________________________________________
[hidden email] 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.