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For example, if we think that 40% (with standard deviation 1%) of infections end ``` r -obs_scale <- list(mean = 0.4, sd = 0.01) +obs_scale <- Normal(mean = 0.4, sd = 0.01) obs_opts(scale = obs_scale) ``` @@ -278,7 +278,7 @@ For example, if the user believes that at the very start of the data the reprodu ``` r -rt_prior <- list(mean = 2, sd = 1) +rt_prior <- LogNormal(mean = 2, sd = 1) rt_opts(prior = rt_prior) ```