A package that estimates the uncertainty of least squares fit parameters with Monte Carlo.
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Updated
Aug 20, 2021 - Python
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regression-parameters
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In this project we develop different methodologies for estimating the regression parameters under the assumption that the response and predictors are not jointly observed but are brought together via an error-prone record linkage process that could create mismatches and missed-matches.
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Updated
Sep 29, 2023 - R
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