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Full information maximum likelihood estimator of mean/cov in Python

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Full Information Maximum Likelihood for Python
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   This is a Python/NumPy implementation of full information maximum
   likelihood (FIML) method to estimate the mean and the covariance of
   data with missing values.

Prerequisites
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   NumPy and SciPy are required to run this software.

Caveats
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   The input data must not contain linearly dependent variables.

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Full information maximum likelihood estimator of mean/cov in Python

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