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Is there a reason for not using _deterministic_ OLS-Estimation (via Moore-Penrose-Pseudoinverse, e.g. in _sklearn.linear_model.LinearRegression.fit()_) in case of the linear regression for the IHEPC d…
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### Problem Description
Linear unmixing can be posed generally using the following equation:
y̅ = Rα̅ + ε
where y̅ is an n- vector giving a sampling of a spectrum with n bands; R is a n×m mat…
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Hi,
Thank you for the awesome package, but I'm a little confused when using average effect estimation or best linear projections in instrumental forest:
- Question 1
These two tasks both nee…
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To conduct linear regression of x=(0,1,2,3) and y=(0,2,4.5,6), I use the follow code:
from scipy.stats import linregress
slope, intercept, r_value, p_value, std_err = linregress((0,1,2,3),(0,2,4.5,6…
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Hello,
Thanks for writing such a fantastic package! My coauthor and I use it everyday!
We would like to report a bug (I think). The following two regressions differ only in that "factor(year)" …
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Here is our remaining todo list:
- [x] submit `mobr` PR for `dev` branch to integrate recent changes made to graphics and analysis
- [x] decide on best set of univariate metrics graphics (e.g., N…
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Hi,
following up the discussion on Discourse, I would kindly ask for method for `(y,X)`.
Motivation: while GLM and friends are often useful, it is sometimes easier to just do 'b = X\y' etc.
…
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The current implementation of sample-weighted forests considers sample weights only during the prediction phase, but not during splitting (see #128, #376, #418). For example, in the case of regression…
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#### Is your feature request related to a problem? Please describe
A common mistake of learners or just people who are working fast and not paying a lot of attention is to try to use OLS regression…
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#### Describe the bug
`statsmodels.regression.linear_model.OLS.fit_regularized` does not work when `alpha` is a list and `L1_wt=0`.
`statsmodels.regression.linear_model.OLS.fit_regularized` with…