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I have started thinking about implementing the Multivariate Normal and Multivariate T into distributions. These distributions are too important not to be included in Distributions.
I have a working …
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I get the error that the distribution cannot be truncated when checking the model. For example, this line:
`sigma.phi ~ dt(0,pr.tauphi[1],pr.tauphi[2]) T(0,) `
OpenBugs does not throw this error.
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Hello!
I have a custom multi-dimensional distribution where the support may be truncated along some dimensions. In terms of constraints, some dimensions will either be `real`, `greater_than`, `less…
adrn updated
23 hours ago
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First of all, thank you very much for this great package! It is really nice to have an easy to use R package to generate designs for choice experiments.
I would like to use the CEA procedure to gen…
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I have an implementation of an efficient, ziggurat-like algorithm for generating truncated (standard) normal rvs as well as code for sampling from a Von Mises distribution. Is there any interest in ad…
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### Description
The CDF for Truncated is just that of the original variable rescaled by the truncation bounds: https://en.wikipedia.org/wiki/Truncated_distribution
The CDF for Censored is also sim…
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### Is your feature request related to a problem? Please describe.
I see SciPy has a very specific implementation of the Powerlaw. It is restricted in unit intervals and has a positive index. In astr…
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Wikipedia says to calculate the truncated normal pdf, you must divide the normal pdf by (sigma * prob_notcut), whereas it seems in the MLE notebook we divided by (prob_notcut). Is this a problem?
htt…
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Hi,
I have encountered an error while trying to sample from the prior of a Turing model with an `LKJCholesky` prior. The error seems to stem from `PDMats` calling `oneunit(Any)` at some point.
T…
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### Description
Hello,
It would be nice to be able to use a truncated normal distribution in the uncertainty interface, for quantities that cannot go above or beyond a specific l…