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Hi Paul,
As I have said before, awesome package. Very glad to see this available to the community. I was wondering if it would be possible to implement a Compound Multniomial-Logistic Normal Distr…
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The current SnakeMake case study is wrong, especially the file
https://github.com/colomoto/colomoto-docker/blob/master/usecases/snakemake/Models/2016_CellCycle_Traynard/Traynard_MultiLevel_MamCC_Apr…
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I want to train the FPN_R-FCN including "hole algorithm" with R-FCN module in Detectron. Before that, I have successfully trained the FPN_R-FCN without "hole algorithm". But when I modified some codes…
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Especially hierarchical models, as in the BUGS examples and Stan's manual.
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Should these power analyses be conducted using collected data (but with effect sizes changed), or on completely simulated data where you can control the magnitude of relationships between all variable…
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I am new to Bayesian multilevel modelling and I'm trying to run some very simple models but I always run into the same warning message:
The model looks as followed:
model1 0) return(TRUE) :
…
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Hello, and thanks for a great software package!
I maintain the semTools package, which had some utility functions, such as fit indices and standardized coefficients for OpenMx fitted models, which …
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I was trying to replicate the tadpole example (m12.2) with rstanarm, in order to understand a little how multilevel models work, here is my code:
(I transformed tank to factor first!)
`fit
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I'll start
# Handy S3 methods
* `logLik` to get the log likelihood from a model
* `confint` for Wald-type confidence intervals on free parameters
* `anova` for comparing nested models
* `coef` …
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Dear Paul,
Thanks a lot for your work on the brms package. It's been extremely useful so far!
However, I ran into the following error today when specifying an AR(1) process for a multilevel logi…