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I thought my error trapping for model structure would allow this but it doesn't seem to. There are easy workarounds, but would be nice if this worked.
```
set.seed(1)
n_sites
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Hi,
I followed the tutorial to define a custom log-likelihood to give that to `bat_sample()`. My likelihood seems to work fine, however, `bat_sample()` doesn't work for me. After some time I get the …
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In your book page 76, Code 3.11 :
run_mcmc = tf.function(
tfp.experimental.mcmc.windowed_adaptive_nuts,
autograph=False, jit_compile=True)
mcmc_samples, sampler_stats = run_mcmc(
10…
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Currently using `-resume` triggers the assertion: https://github.com/popgenmethods/SINGER/blob/23469d38b7a7a1e431e65c1d018023c67e096420/SINGER/SINGER/BSP.cpp#L121
AFAICT the underlying reason is th…
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I am interested in functionality that would allow users to combine different samplers using different parameter subsets. My specific use case is that some of my parameters have a conjugate likelihood …
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TypeError Traceback (most recent call last)
Cell In[9], line 4
2 number_warmup=100
3 number_samples=100
----> 4 mmm.fit(
5 media=media_data_t…
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Hi JASP Team,
Would it be possible to implement brms in JASP for Bayesian modeling within JASP? The No U-Turn Sampler (NUTS) for MCMC is extremely fast and efficient and the brms front end to the Sta…
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I bumped into some more shenanigans with `reversediff` and covariance matrices. Generating a vector of numbers using `arraydist`, multiplying that with a matrix from LKJCholesky, and passing it back t…
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Neither the `posterior_predictive` nor the `posterior_predictive_branch` samplers check for the existence of functional "r" random generation functions. This causes a problem in the case of user-defi…
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It would be great to utilise the GPU on Apple Silicon chips. The lowest resistance way of doing this is probably through the jax backend, see https://jax.readthedocs.io/en/latest/installation.html#app…