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this is mainly to add a link
discussion how to use ols and linear regression
http://forums.udacity.com/questions/100155297/how-much-different-do-you-get-r2-by-using-ordinary-least-squares#ud359
som…
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(another random thought, a quick google search shows that there is some information, but I haven't read anything.)
In the illustrative quantile regression example, I used heteroscedasticity to get …
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I spend some time debugging why my Ridge/TheilGLS cannot replicate OLS.
The example uses Longley data following an example in R MASS lm.ridge.
condition number is bad
If I solve the moment equation …
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I wrote a tiny utility for performing a Fisher–Yates shuffle [here](https://github.com/Boarders/perfect-vector-shuffle). At first I wrote this using System.Random and StdGen but was informed this was …
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When I include more than 1 endogenous variables in the copulaCorrection(), it shows the following message and runs much faster: "Warning: Additional parameters given in the ... argument are ignored be…
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It looks like geom_smooth only supports up to 999 rows.
You can see below that when I increase the row count from 999 to 1000 I get a regression line rather than a smooth plot.
![Screen Shot 202…
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Whenever I run a linear mixed effect model on a large dataset, the model seems to compute. However, when I query it, I find instead that it's caused the console I am using to lose all its variables an…
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Dear nilean team,
After finding unexpected results when computing a `predicted` signal myself, I noticed that `SimpleRegressionResults` and `RegressionResults` do not compute the `predicted` signal…
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**Bug Description**
p-values disagree between interactive plot and
**References**
https://forum.qiime2.org/t/gneiss-downloaded-p-value-csv-disagrees-with-interactive-summary/7972/10
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Running the following:
```
N = 1000
e4 = numpy.random.normal(size=N)
e5 = numpy.random.normal(size=N)
e6 = numpy.random.normal(size=N)
y = e4 + e5
data4 = pd.DataFrame({'a':e4,'b':e4+e5/1000,'y':y}…