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Full Information Maximum Likelihood for Python ---------------------------------------------- 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 ------------- NumPy and SciPy are required to run this software. Caveats ------- 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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