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It would be fantastic to have models that can handle multiple target regression problems, for instance, in a scenario where the same set of independent variables can be used to learn and predict multi…
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#### Describe the bug
The following documentation page https://github.com/statsmodels/statsmodels/wiki/Examples#linear-mixed-models mentions two notebooks as examples for using Linear Mixed Models …
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Hello,
I recently ran regenie on a genome-wide dataset for a binary trait, mistakenly running step1 and then step2 on each chromosome individually (and later understanding I should be running step1…
Hepit updated
11 months ago
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quantile residual seems to be a "newer" alias for normal scores, i.e. use ppf to transform to normal distribution
related: uniform scores for count distributions, see #1537 #2027 and maybe others (…
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## NOTE
This issue is reserved for the #DataUmbrellaPyMCSprint
### References
- Issue [#5460](https://github.com/pymc-devs/pymc/issues/5460)
- [Jupyter style guide](https://www.pymc.io/projects/…
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see #1971 for more topic pages in the documentation
(following a bit the discussion in Julia about adding ANOVA type tests
https://groups.google.com/d/msg/pystatsmodels/5w1OAr_OFQg/CiXu72opAQAJ )
…
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## Model Description
Linear Regression : Linear Regression is a Basic Regression in which there are one dependent column and only one independent column so that column will become the target variable…
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Hi, I am using tab_model for robust estimation on a standardized linear regression model. Unfortunately, for all my models, the p-value of the intercept seems to be not reasonable, as the value should…
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```
...
from cuml.linear_model import LogisticRegression
from cuml.metrics import accuracy_score
...
print("Initializing Logistic Regression model...")
model = LogisticRegression()
print("Tra…
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`B_full = M * B_reduced`
example: MNLogit reduced to stereotype Logit, `slogit` in Stata
but this also has the same structure as cointegrating regression (VAR).
see slogit references, and similar m…