ENH: Add CFA to factor analysis #9114
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josef-pkt
reviewed
Jan 4, 2024
| @@ -1035,3 +1088,49 @@ def load_stderr(self): | |||
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| v = np.outer(self.uniqueness, np.ones(self.loadings.shape[1])) | |||
| return np.sqrt(v / self.nobs) | |||
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| @cache_readonly | |||
| def srmr(self): | |||
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shouldn't there be another s in there: srmsr
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That would make more sense, but it seems that srmr is what is actually
used...
…On Thu, Jan 4, 2024 at 3:18 PM Josef Perktold ***@***.***> wrote:
***@***.**** commented on this pull request.
------------------------------
In statsmodels/multivariate/factor.py
<#9114 (comment)>
:
> @@ -1035,3 +1088,49 @@ def load_stderr(self):
v = np.outer(self.uniqueness, np.ones(self.loadings.shape[1]))
return np.sqrt(v / self.nobs)
+
+ @cache_readonly
+ def srmr(self):
shouldn't there be another s in there: srmsr
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This PR allows confirmatory factor analyses to be done with the Factor class (which currently only supports exploratory factor analysis).