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I am fitting a mixed model with about 10,000 groups, eg:
``
import statsmodels.formula.api as smf
``
``
model = smf.mixedlm('Y ~ cov_1 + cov_2 + cov_3',
data,
groups …
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```julia
using MLJ, RDatasets, DataFrames;
#Load & make model list.
@inline function load_m(model_list)
@inbounds for (i, model) in enumerate(model_list)
load(model.name, pkg=model.pa…
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Firstly, thanks for a great book! It gives every intuitive way to understand the Causal Inference topic!
It would be very useful to provide information on how to calculate statistical significance …
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Just trying to get a rough overview what I'm planning for 0.14
- diagnostics, score tests
- missing pieces in discrete (avoiding PRs that get too large or widespread).
- main difficulty will…
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Hello Osvaldo!
I am trying with the BART and in my opinion this shines like a crown. Something like a real PYMC jewel :-D
You say at the end of the notebook that one needs to detrend. All this …
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Just parking a vague idea
In several cases we want to estimate additional statistics to help in the interpretation, these are like parameters that don't show up in the null model
example
- ATE:…
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This issue carries on the discussion at https://github.com/JuliaStats/Roadmap.jl/issues/14 with the intend to make things more concrete. To start with this, I see a list of apparent questions and TODO…
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### Description
The [Pydantic integration](https://github.com/flyteorg/flytekit/blob/master/plugins/flytekit-pydantic/README.md) currently does not have an example page under the integrations section…
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Hi everybody,
I have some questions about the multi-fidelity model:
1. For the hyper-parameters of the multi-fidelity model, does emukit find them with the log-likelihood of the whole data (chea…
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I've implemented GradientBoost and a more efficient version of AdaBoost that interface with `treeregressor` and `treeclassifier` and am now looking to port them to the light-weight front facing struct…