For some reason rstan will not let me load output files with NaN values (which happen because the model
program covers a variety of model types and outputs some irrelevant values). Is there a flag to create the
object anyway?
> tp <- rstan::read_stan_csv(csvfiles=dir(pattern='output-chain-.\\.csv'))
Error in validObject(.Object) :
invalid class “stanfit” object: The following variables have undefined values: predicted_district_delta.1,The following variables have undefined values: predicted_district_delta.2,The following variables have undefined values: predicted_district_delta.3,The following variables have undefined values: predicted_district_delta.4,The following variables have undefined values: predicted_district_delta.5,The following variables have undefined values: predicted_district_delta.6,The following variables have undefined values: predicted_district_delta.7,The following variables have undefined values: predicted_district_delta.8,The following variables have undefined values: predicted_district_delta.9,The following variables have undefined values: predicted_district_delta.10,The following variables have undefined values: predicted_district_delta.11,The following variables have undefined values: predicted_district_delta.12,The following variables have undefined values: pre
In addition: Warning message:
closing unused connection 3 (output-chain-1.csv)