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I was getting errors with cases of overdispersed length data and calcomp samples. I will look into this later but for now I recommend switching cpar to NA and just dividing your Nsmap by cpar^2. So if…
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There are a number of log-likelihoods which would be useful (this came up in discussion for the [PKPD app](https://github.com/pkpdapp-team/pkpdapp).):
- [x] log-normal: used a lot in PKPD modelling…
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Mainly parking a issue and references. I was just skimming parts.
In treatment effect we use GMM for cov_params which is a robust cov_type.
If we want nonrobust cov_type, then we need to skip some…
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based on the comments in #2208
`risk ratio` is a useful effects measure that is often used in medical, epidemiological studies, and I guess other areas.
It makes a good use, example and test case f…
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Inspired by the discussion in #269, I wanted to open up some discussion about the possibility of modifying the catalog models to give users the option of simulating the parameter values from prior dis…
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Some distributions have no closed form (or `special`) versions and are not tractable. For some use cases we can use approximation that are easier to work with.
example: moment matching for p-values…
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In SLOPE version 0.3.0 and above, the penalty in the SLOPE objective is scaled depending on the type of scaling that is used in the call to `SLOPE()`. The behavior is:
* for `scaling = "l1"`, no sc…
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#624 parameterized link function
#3224 nonlinear transformation to normality
AFAIU:
link function GLM, single index models use
`E(y|x) = f(x b)`
transformation model uses
`z = f(y|x) ~ N(g(x b…
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Currently, my models of MAP data cannot deal with backward transition by the means of misspecification in matrix `E` .
``` r
> # clean data after encoding multistates
> # each person has at least tw…
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Hi,
I’m currently running SCIPhI on some simulated sets but i’m getting some peculiar patterns and I’m not sure whether this is a bug of the tool or a misspecification of parameter settings or someth…