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We have quasimultinomial model, which tries to fit all the growth advantages at once. There exists a simpler model, which targets only the proportion $p(t) = \frac{y_1(t)}{y_1(t) + y_0(t)}$ and estimates a growth advantage directly, using a two parameter model $p(t) = \mathrm{logit}^{-1}(g t - b)$.
Prepare the functions that:
Allow one to calculate $p(t)$ and plot it.
Fit the quasibinomial models using maximum quasilikelihood and quasiposterior.
Function for calculating overdispersion.
Assessing the residuals.
The text was updated successfully, but these errors were encountered:
We have quasimultinomial model, which tries to fit all the growth advantages at once. There exists a simpler model, which targets only the proportion$p(t) = \frac{y_1(t)}{y_1(t) + y_0(t)}$ and estimates a growth advantage directly, using a two parameter model $p(t) = \mathrm{logit}^{-1}(g t - b)$ .
Prepare the functions that:
The text was updated successfully, but these errors were encountered: