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Fixed wrong URI
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R/mdyplFit.R

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#' By default, `alpha = m / (p + m)` is used, where `m` is the sum of
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#' the binomial totals. Alternative values of `alpha` can be passed to
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#' the `control` argument; see [mdyplControl()] for setting up the
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#' list passed to `control`. If `alpha = 1` then
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#' [`"mdyplFit"`][mdyplFit()] will simply do maximum likelihood
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#' estimation.
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#' list passed to `control`. If `alpha = 1` then [mdyplFit()] will
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#' simply do maximum likelihood estimation.
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#'
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#' Note that `null.deviance`, `deviance` and `aic` in the resulting
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#' object are computed at the adjusted responses. Hence, methods such
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#'
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#' For high-dimensionality corrected estimates, standard errors and z
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#' statistics, use the [`summary`][summary.mdyplFit()] method for
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#' [`"mdyplFit"`](mdyplFit()) objects with `hd_correction = TRUE`.
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#' [`"mdyplFit"`][mdyplFit()] objects with `hd_correction = TRUE`.
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#'
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#' [mdypl_fit()] is an alias to [mdyplFit()].
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#'

man/mdyplFit.Rd

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