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Rename readme.md to README.md
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AHsu98 authored Jan 29, 2023
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Expand Up @@ -22,4 +22,4 @@ Currently, the multiplicative-in-rate model RateMultiplicativeModel with $T(x)=\

A useful (but slightly wrong) analogy is that the multiplicative-in-rate is to the multiplicative-in-odds model as ordinary least squares is to logistic regression in terms of the relationship between covariates and output (not in terms of anything like the likelihood)

Increasing m in the model LMO_model(m) gives results that are more similar to the multiplicative-in-rate model currently in use, while preserving the property that rate estimates are bounded by 1.
Increasing m in the model LMO_model(m) gives results that are more similar to the multiplicative-in-rate model currently in use, while preserving the property that rate estimates are bounded by 1.

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