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Observed data model should be separate from the missing data mechanism #9

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OlivierBinette opened this issue Oct 2, 2020 · 1 comment
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enhancement New feature or request

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@OlivierBinette
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Idea to explore: use a split model where dga is used to fit the observed data (conditionally on the number of observed individuals), and where the missing data mechanism is modelled separately.

@OlivierBinette OlivierBinette added the enhancement New feature or request label Oct 2, 2020
@OlivierBinette
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Won't be done as part of this package. The bma.cr function should allow to sample from the posterior of the parameters to allow for this.

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