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man/dynIRT.Rd

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}
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\arguments{
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\item{.data}{ matrix of numeric values containing the data to be scaled. Respondents are
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assumed to be on rows, and items assumed to be on columns, so the matrix is assumed to be
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of dimension (N x J). For each item, only 3 ordered category responses are accepted, and the
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only allowable responses are `1', `2', and `3', with `0' as a missing data record. If data
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of more than 3 categories are to be rescaled, they should be collapsed into 3 categories and
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recoded accordingly before proceeding.
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\item{.data}{ a list with the following items.
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\itemize{
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\item{\code{rc}}{ A (N x J) matrix of observed votes. `1' and `-1' are the yea and nay codes, while `0' is
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a missing data code.}
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\author{
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Kosuke Imai \email{kimai@princeton.edu}
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James Lo \email{jameslo@princeton.edu}
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James Lo \email{lojames@usc.edu}
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Jonathan Olmsted \email{jpolmsted@gmail.com}
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}

man/hierIRT.Rd

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}
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\arguments{
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\item{.data}{ matrix of numeric values containing the data to be scaled. Respondents are
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assumed to be on rows, and items assumed to be on columns, so the matrix is assumed to be
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of dimension (N x J). For each item, only 3 ordered category responses are accepted, and the
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only allowable responses are `1', `2', and `3', with `0' as a missing data record. If data
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of more than 3 categories are to be rescaled, they should be collapsed into 3 categories and
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recoded accordingly before proceeding.
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\item{.data}{ a list with the following items:
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\itemize{
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\item{\code{y}}{ A (L x 1) matrix of observed votes. `1' and `-1' are the yea and nay codes.}
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\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{
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Kosuke Imai \email{kimai@princeton.edu}
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James Lo \email{jameslo@princeton.edu}
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James Lo \email{lojames@usc.edu}
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Jonathan Olmsted \email{jpolmsted@gmail.com}
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}

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