Allow show to function properly even if some statistic computations fail (#412)

* allow show to function properly even if some statistic computations fail

* added patch version

* fixed ordering of stats in case some are missing

* added missing )

---------

Co-authored-by: Cameron Pfiffer <[email protected]>

Author: torfjelde

src/stats.jl

@@ -299,23 +299,42 @@ function summarystats(
     _chains = Chains(chains, _clean_sections(chains, sections))
 
     # Calculate MCSE and ESS/R-hat separately.
-    mcse_df = MCMCDiagnosticTools.mcse(
-        _chains; sections = nothing, autocov_method = autocov_method, maxlag = maxlag,
-    )
-    ess_rhat_rank_df = MCMCDiagnosticTools.ess_rhat(
-        _chains; sections = nothing, autocov_method = autocov_method, maxlag = maxlag, kind=:rank
-    )
-    ess_tail_df = MCMCDiagnosticTools.ess(
-        _chains; sections = nothing, autocov_method = autocov_method, maxlag = maxlag, kind=:tail
-    )
-    nt_additional = (
-        mcse=mcse_df.nt.mcse,
-        ess_bulk=ess_rhat_rank_df.nt.ess,
-        ess_tail=ess_tail_df.nt.ess,
-        rhat=ess_rhat_rank_df.nt.rhat,
-        ess_per_sec=ess_rhat_rank_df.nt.ess_per_sec,
-    )
-    additional_df = ChainDataFrame("Additional", nt_additional)
+    nt_additional = NamedTuple()
+    try
+        mcse_df = MCMCDiagnosticTools.mcse(
+            _chains; sections = nothing, autocov_method = autocov_method, maxlag = maxlag,
+        )
+        nt_additional = merge(nt_additional, (; mcse=mcse_df.nt.mcse))
+    catch e
+        @warn "MCSE calculation failed: $e"
+    end
+
+    try
+        ess_tail_df = MCMCDiagnosticTools.ess(
+            _chains; sections = nothing, autocov_method = autocov_method, maxlag = maxlag, kind=:tail
+        )
+        nt_additional = merge(nt_additional, (ess_tail=ess_tail_df.nt.ess,))
+    catch e
+        @warn "Tail ESS calculation failed: $e"
+    end
+
+    try
+        ess_rhat_rank_df = MCMCDiagnosticTools.ess_rhat(
+            _chains; sections = nothing, autocov_method = autocov_method, maxlag = maxlag, kind=:rank
+        )
+        nt_ess_rhat_rank = (
+            ess_bulk=ess_rhat_rank_df.nt.ess,
+            rhat=ess_rhat_rank_df.nt.rhat,
+            ess_per_sec=ess_rhat_rank_df.nt.ess_per_sec
+        )
+        nt_additional = merge(nt_additional, nt_ess_rhat_rank)
+    catch e
+        @warn "Bulk ESS/R-hat calculation failed: $e"
+    end
+
+    # Possibly re-order the columns to stay backwards-compatible.
+    additional_keys = (:mcse, :ess_bulk, :ess_tail, :rhat, :ess_per_sec)
+    additional_df = ChainDataFrame("Additional", (; ((k, nt_additional[k]) for k in additional_keys if k ∈ keys(nt_additional))...))
 
     # Summarize.
     summary_df = summarize(