R[t,ct] <- rbinom(1, prev_t[ct], gamma[ct]) ii[t,ct] <- rbinom(1, prev_t[ct] + I[t,ct] - R[t,ct], p_detect) matplot(ii, type="l") tt <- cmdstan_model("stoch-beta-test ...
This example illustrates how you can use the GENMOD procedure to fit a model to data measured on an ordinal scale. The following statements create a SAS data set called icecream. The data set contains ...
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