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jameslo989 authored Feb 14, 2017
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9 changes: 2 additions & 7 deletions man/dynIRT.Rd
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}

\arguments{
\item{.data}{ matrix of numeric values containing the data to be scaled. Respondents are
assumed to be on rows, and items assumed to be on columns, so the matrix is assumed to be
of dimension (N x J). For each item, only 3 ordered category responses are accepted, and the
only allowable responses are `1', `2', and `3', with `0' as a missing data record. If data
of more than 3 categories are to be rescaled, they should be collapsed into 3 categories and
recoded accordingly before proceeding.
\item{.data}{ a list with the following items.
\itemize{
\item{\code{rc}}{ A (N x J) matrix of observed votes. `1' and `-1' are the yea and nay codes, while `0' is
a missing data code.}
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\author{
Kosuke Imai \email{[email protected]}
James Lo \email{jameslo@princeton.edu}
James Lo \email{lojames@usc.edu}
Jonathan Olmsted \email{[email protected]}
}
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9 changes: 2 additions & 7 deletions man/hierIRT.Rd
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}
\arguments{
\item{.data}{ matrix of numeric values containing the data to be scaled. Respondents are
assumed to be on rows, and items assumed to be on columns, so the matrix is assumed to be
of dimension (N x J). For each item, only 3 ordered category responses are accepted, and the
only allowable responses are `1', `2', and `3', with `0' as a missing data record. If data
of more than 3 categories are to be rescaled, they should be collapsed into 3 categories and
recoded accordingly before proceeding.
\item{.data}{ a list with the following items:
\itemize{
\item{\code{y}}{ A (L x 1) matrix of observed votes. `1' and `-1' are the yea and nay codes.}
\item{\code{i}}{ A (L x 1) integer matrix of indexes of the ideal point i[l] linked to each observed
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\author{
Kosuke Imai \email{kimai@princeton.edu}

James Lo \email{jameslo@princeton.edu}
James Lo \email{lojames@usc.edu}

Jonathan Olmsted \email{jpolmsted@gmail.com}
}
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