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* [x] lab 2
* [x] lab 3
* [x] lab 4
* [x] lab 5
* ~~lab 6a (requires forward/backward)~~
* [x] lab 6b
* ~~lab 6c (requires PLS, PCR)~~
* ~~lab 7 (requires GAMs)~~
* [x] lab 8 DT
* [x] lab 9 …
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The function `get_coeffs` performs a least-squares fit of parameter `X` (generally a mixing matrix) on parameter `data` (generally optcom or other data). It is used in the following locations:
- [wri…
tsalo updated
4 years ago
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It looks like the path to the html docs for some methods has changed to a double "generated" path
e.g.
http://www.statsmodels.org/dev/generated/generated/statsmodels.regression.linear_model.OLSRes…
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**What would you like gtools to add or change (and why)?**
I've been using rangestat to estimate rolling-window regressions, specifically for estimating factor betas, but rangestat seems still a bit …
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I wonder what procedures one would have to take to conduct a causal mediation analysis using grf? Assume we have the attached DAG and that the researcher aims to identify the direct effect (*c*) of a …
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This feature is somewhat similar to https://github.com/koaning/scikit-lego/issues/23, but it can work for regressors as well. I'll explain it using a top-down approach.
First, the constructor's sig…
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It appears kwargs specified by the user in OLS.fit_regularized() get overridden by the defaults here:
https://github.com/statsmodels/statsmodels/blob/ae3c9133de222f200f11ee3e38de3bb7d93772fd/statsm…
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Dear all,
I have built the Docker image
```
git clone https://github.com/MMathisLab/Docker4DeepLabCut2.0
cd Docker4DeepLabCut2.0
docker image build -t deep_lab_cut .
docker run -it deep_lab_c…
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```
>>> exog.dtype
dtype('bool')
```
```
>>> print sm.OLS(end, exog).fit().summary()
OLS Regression Results
===================================…
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This post describes a possible enhancement, but I'm not sure it fits in with the alphalens project objective as it deals with factor combination. I am proposing it because alphalens already has some o…