Re: [R] Using item difficulties from a fitted Partial Credit Model to predict person abilities in an extended dataset?

There is a StackExchange forum dedicated to Quantitative Finance. -- David. On 6/7/20 8:31 AM, Rob Forsyth wrote: OK thanks for the guidance Rob On 7 Jun 2020, at 16:15, Bert Gunter wrote: ⚠ External sender. Take care when opening links or attachments. Do not provide your login details.

Re: [R] Using item difficulties from a fitted Partial Credit Model to predict person abilities in an extended dataset?

OK thanks for the guidance Rob > On 7 Jun 2020, at 16:15, Bert Gunter wrote: > > ⚠ External sender. Take care when opening links or attachments. Do not > provide your login details. > Such package/methodology specific questions may well go unanswered here. They > are essentially offtopic anywa

Re: [R] Using item difficulties from a fitted Partial Credit Model to predict person abilities in an extended dataset?

Such package/methodology specific questions may well go unanswered here. They are essentially offtopic anyway: this list is about general R programming questions and cannot be expected to support the ~ 2 packages now in the ecosystem. I suggest that you contact the package maintainer (?maintain

[R] Using item difficulties from a fitted Partial Credit Model to predict person abilities in an extended dataset?

I am using the eRm package to examine the properties of a clinical rating scale using a Partial Credit Model (PCM). I understand how to extract the person ability estimates (thetas) from a simple fitted PCM but I have a dataset with repeated observations over time (~1200 observations of the inst