Feature/class effects #37
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…ffects & class_sd
…classes in the network (is.null(network$classes)) and give an error if not
…rior_class_sd being left at default values if class_effects == "exchangeable"
…eviations to pass on to nma.fit() (and then to Stan), based on the specification given in class_effects and class_sd. Let 0 mean no class effect on this treatment/arm. With the list structure for class_sd, passing this to forcats::fct_collapse() as a simple way to collapse the class SDs
…in 'class_effects'
…uments and design vectors into nma.fit(). Also added checks
…s. Also a flag (integer 0/1) for whether a class model is used or not might be helpful? E.g. class_effects which is 1 if exchangeable class effects are used, 0 otherwise.
…parameters that will appear in the output.
Change inputs into nma.fit() from CE_vector to CE_vector_num Moved class naming to nma() rather than nma.fit() Change the coding of which_class function
…tatements to != "independent" to =="exchangeable". Quick fix of if (class_effects != "common" && !is_network_connected(network)) as produced errors before
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Adding class effects into the multinma package