diff --git a/analysis/randomSampling.m b/analysis/randomSampling.m
index 7042370f..12f89184 100755
--- a/analysis/randomSampling.m
+++ b/analysis/randomSampling.m
@@ -1,4 +1,4 @@
-function [solutions, goodRxns]=randomSampling(model,varargin)
+function [solutions, goodRxns, info]=randomSampling(model,varargin)
 % randomSampling  Sample the flux solution space (entry point for all samplers).
 %
 % Dispatches to one of three sampling methods via the 'method' argument:
@@ -75,6 +75,10 @@
 %     [randomObjective] vector of indexes of those reactions that are not
 %     involved in loops or always carry zero flux and can be used as random
 %     objective functions. Empty ([]) for the 'achr' and 'chrr' methods.
+% info : struct
+%     [chrr] the diagnostics from sampleCHRR, including mveConverged (whether
+%     the maximum-volume ellipsoid rounding reached tolerance). Empty ([])
+%     for the 'achr' and 'randomObjective' methods.
 %
 % Notes
 % -----
@@ -111,6 +115,7 @@
 method=p.method;
 thinning=p.thinning;
 nBurnin=p.nBurnin;
+info=[]; %only populated by the 'chrr' method
 if isempty(nSamples)
     nSamples=1000;
 end
@@ -129,7 +134,7 @@
         goodRxns = [];
         return;
     case 'chrr'
-        solutions = sampleCHRR(model, nSamples, thinning, nBurnin, seed);
+        [solutions, info] = sampleCHRR(model, nSamples, thinning, nBurnin, seed);
         goodRxns = [];
         return;
     case {'randomobjective', 'objective'}
diff --git a/analysis/sampleCHRR.m b/analysis/sampleCHRR.m
index 8c3d4853..dfa8f67b 100644
--- a/analysis/sampleCHRR.m
+++ b/analysis/sampleCHRR.m
@@ -118,6 +118,11 @@
 [center, E, converged] = sampleMaxVolEllipse(A_full, b_full, x0);
 info.nDimensions = d;
 info.mveConverged = converged;
+if ~converged
+    warning('RAVEN:warning', '%s', ['The maximum-volume ellipsoid rounding ' ...
+        'did not converge; the samples may be poorly mixed. Inspect the ' ...
+        'mveConverged field of the second output.']);
+end
 
 % Rounded polytope {y : A_r*y <= b_r}, which contains the unit ball.
 A_r = A_full * E;
diff --git a/testing/function_tests/tSampling.m b/testing/function_tests/tSampling.m
index 2e984f20..c365addb 100644
--- a/testing/function_tests/tSampling.m
+++ b/testing/function_tests/tSampling.m
@@ -109,6 +109,14 @@ function randomSamplingCHRRDispatch(testCase)
             testCase.verifyLessThan(max(abs(resid(:))), 1e-6);
         end
 
+        function randomSamplingCHRRExposesInfo(testCase)
+            % The CHRR convergence diagnostics must be reachable through the
+            % documented randomSampling entry point, not only sampleCHRR.
+            evalc(['[sols, gr, sInfo] = randomSampling(testCase.model, 10, ' ...
+                '''method'', ''chrr'', ''thinning'', 5, ''nBurnin'', 20, ''seed'', 1);']);
+            testCase.verifyTrue(isfield(sInfo, 'mveConverged'));
+        end
+
         function randomSamplingCHRRDeterministic(testCase)
             evalc(['s1 = randomSampling(testCase.model, 8, ''method'', ''chrr'', ' ...
                 '''thinning'', 5, ''nBurnin'', 20, ''seed'', 42);']);