StressPy 0.0.9 — synthetic worked example

Local geometric diagnostics · Residual = observed − predicted

Summary

All scalar results and calculation status; settings and arrays follow in detail.

category	quantity	value	interpretation
Analysis	stresspy_version	0.0.9
Analysis	python_version	3.12.14
Analysis	numpy_version	2.3.5
Analysis	n_observations	5
Analysis	n_parameters	2
Analysis	metric	sigma
Analysis	jacobian_method	central
Analysis	rank_rtol	1.1102230246251565e-15
Analysis	rank_atol	0.0
Analysis	rank_threshold	1.7554167342926843e-14
Fit	rmse_original	0.6648308055437864	Original observation units; not a noise-calibrated statistic
Geometry	total_stress	55.25
Geometry	tangent_stress	43.35000000022918
Geometry	normal_stress	11.899999999770822
Geometry	normal_fraction	0.21538461538046735
Geometry	normal_fraction_pct	21.538461538046736
Geometry	rank	2
Geometry	condition_number	1.4142135623717986	Retained singular spectrum
Geometry	repair_norm	0.5283937925425799	Supplied parameter coordinates
Geometry	full_column_condition_number	1.4142135623717986	Infinite if full column rank is not retained
Settings	sigma_floor	Not applied	Requested absolute uncertainty floor; None means not applied
Settings	sigma_floor_quantile	Not applied	Requested quantile floor; None means not applied
Settings	applied_sigma_floor	Not applied	Effective floor value; None means not applied
Optional analyses	nonlinear_repair	Included
Optional analyses	calibration	Included
Optional analyses	rank_sensitivity	Included
Optional analyses	weighting_sensitivity	Included
Optional analyses	parameter_diagnostics	Included
Optional analyses	joint_compatibility	Not calculated
Optional analyses	bounded_repair	Not calculated
Optional analyses	deletion_influence	Not calculated
Nonlinear repair	baseline_total_stress	55.25
Nonlinear repair	best_alpha	1.0
Nonlinear repair	best_stress	11.899999999999999
Nonlinear repair	actual_reduction	43.35
Nonlinear repair	scaled_repair_norm	0.5283937925425799
Calibration	method	fixed_geometry_monte_carlo
Calibration	noise_model	independent zero-mean Gaussian
Calibration	observed_stress	11.899999999770822
Calibration	reference_mean	2.9671898839174653
Calibration	n_resamples	999
Calibration	exceedances	5
Calibration	p_value	0.006
Calibration	confidence_level	0.95
Calibration	tail_probability_interval	[0.0021396770441084265, 0.01166256327907405]

Observations

Original observation coordinates; components add to residual. Stress attribution appears here only for known diagonal metrics.

index	label	observed	predicted	residual	tangent_component	normal_component	group	tangent_stress_contribution	normal_stress_contribution	normal_share	leverage
0	x=-2	0.2	0.0	0.2	-0.05999999999622331	0.2599999999962233	left	0.08999999998866992	1.6899999999509028	0.14201680672129832	0.6000000000022
1	x=-1	0.7	0.5	0.19999999999999996	0.2000000000017786	-1.778621694370486e-12	left	1.0000000000177858	7.908737829213344e-23	6.645998175937526e-24	0.2999999999990832
2	x=0	1.1	1.0	0.10000000000000009	0.45999999999739655	-0.35999999999739646	centre	5.28999999994012	3.239999999953136	0.2722689075643306	0.19999999999706652
3	x=1	1.9	1.5	0.3999999999999999	0.719999999999615	-0.31999999999961504	right	12.959999999986136	2.55999999999384	0.21512605042379346	0.2999999999979831
4	x=2	3.4	2.0	1.4	0.9800000000060504	0.41999999999394966	right	24.01000000029647	4.409999999872943	0.3705882352905776	0.6000000000036669

Whitened Coordinates

Whitened-coordinate contributions sum to tangent/normal stress; dense whitening mixes original observations.

coordinate	weighted_residual	weighted_tangent_component	weighted_normal_component	tangent_stress_contribution	normal_stress_contribution	leverage
0	1.0	-0.29999999998111654	1.2999999999811165	0.08999999998866992	1.6899999999509028	0.6000000000022
1	0.9999999999999998	1.0000000000088929	-8.893108471852429e-12	1.0000000000177858	7.908737829213344e-23	0.2999999999990832
2	0.5000000000000004	2.2999999999869827	-1.7999999999869822	5.28999999994012	3.239999999953136	0.19999999999706652
3	1.9999999999999996	3.5999999999980745	-1.599999999998075	12.959999999986136	2.55999999999384	0.2999999999979831
4	7.0	4.900000000030252	2.0999999999697483	24.01000000029647	4.409999999872943	0.6000000000036669

Parameters

Values may be unavailable for residual-only analyses. Participation is in the retained/discarded numerical parameter subspaces; it is not a probability or uncertainty.

index	label	value	local_repair	retained_participation	discarded_participation	jacobian_step	tested_repair	best_parameters
0	intercept	1.0	0.4599999999992127	1.0	0.0	6.055454452393343e-06	0.4599999999992127	1.4599999999992126
1	slope	0.5	0.25999999999664464	1.0	0.0	6.055454452393343e-06	0.25999999999664464	0.7599999999966447

Singular Values

index	singular_value	retained	rank_threshold
0	15.811388300880932	True	1.7554167342926843e-14
1	11.1803398875368	True	1.7554167342926843e-14

Tangent Basis

Retained left singular vectors in whitened observation coordinates.

whitened_coordinate	direction_0	direction_1
0	-0.6324555320272983	0.44721359551143686
1	-0.31622776600959057	0.44721359550405765
2	5.218020152720572e-12	0.4472135954966782
3	0.3162277660229255	0.44721359549339845
4	0.6324555320406332	0.44721359549421846

Parameter Basis

Retained right singular vectors in supplied parameter coordinates.

parameter_index	direction_0	direction_1
0	1.6500868289262163e-11	1.0
1	1.0	-1.6500868289262163e-11

Jacobian

Prediction Jacobian in supplied coordinates.

observation_index	parameter_0	parameter_1
0	0.9999999999960519	-2.000000000001271
1	0.9999999999960519	-0.9999999999960519
2	0.9999999999960519	0.0
3	1.000000000005219	1.000000000005219
4	1.0000000000235534	2.000000000010438

Settings

Copied inputs and effective metric/rank settings. Null settings were not applied.

setting	index	value
metric	Not calculated	sigma
sigma	0	0.2
sigma	1	0.2
sigma	2	0.2
sigma	3	0.2
sigma	4	0.2
covariance	Not calculated	Not calculated
whitener	Not calculated	Not calculated
rank_rtol	Not calculated	1.1102230246251565e-15
rank_atol	Not calculated	0.0
weights	Not calculated	Not calculated
sigma_input	0	0.2
sigma_input	1	0.2
sigma_input	2	0.2
sigma_input	3	0.2
sigma_input	4	0.2
sigma_floor	Not calculated	Not calculated
sigma_floor_quantile	Not calculated	Not calculated
applied_sigma_floor	Not calculated	Not calculated

Groups

Additive contributions under the analysis metric; these do not identify a causal defective mechanism.

group	count	tangent_stress	normal_stress
left	2	1.0900000000064556	1.6899999999509028
centre	1	5.28999999994012	3.239999999953136
right	2	36.9700000002826	6.969999999866783

Repair Steps

All attempted nonlinear steps, including rejected bounds and model errors.

alpha	parameters	status	total_stress	fixed_tangent_stress	fixed_normal_stress	predicted_reduction	actual_reduction	efficiency_ratio
1.0	[1.4599999999992126, 0.7599999999966447]	linear_agreement	11.899999999999999	4.0165672698976646e-21	11.899999999999999	43.35000000022918	43.35	0.9999999999947133
0.5	[1.2299999999996063, 0.6299999999983223]	linear_agreement	22.737500000131668	10.837500000246264	11.8999999998854	32.51250000017188	32.51249999986833	0.9999999999906636
0.1	[1.0459999999999212, 0.5259999999996645]	linear_agreement	47.013500000047394	35.11350000025366	11.899999999793733	8.236500000043545	8.236499999952606	0.999999999988959

Calibration Quantiles

quantile	reference_stress
0.025	0.1910405409369134
0.5	2.3469913662423414
0.95	7.731293950276721
0.975	8.957501952888789

Calibration Reference

replicate	normal_stress	rank
0	5.590104082604839	2
1	1.3688715603531187	2
2	0.6476136454160536	2
3	2.037858171424092	2
4	2.189409811297154	2
5	0.30170713699656454	2
6	4.649414868576239	2
7	2.8184789078002903	2
8	0.9251293800926449	2
9	0.4493327572340022	2
10	1.9667205042242037	2
11	3.6242056438294195	2
12	0.4984033284408267	2
13	1.595116818035664	2
14	0.5834745599706389	2
15	0.9729277535903496	2
16	0.5183900467151318	2
17	0.6292811155559414	2
18	0.7614625667012463	2
19	1.3793616897272696	2
20	3.066541638513716	2
21	3.458020278299145	2
22	1.7786307775149999	2
23	2.3414446130654607	2
24	0.7816731646717495	2
25	2.5939392715942766	2
26	2.9663579706613348	2
27	0.11076444980998958	2
28	4.170068723635331	2
29	0.9305140167232139	2
30	1.7597381279194155	2
31	1.2042545737464108	2
32	6.091331930857692	2
33	1.807677192337213	2
34	1.1122270621671289	2
35	1.563895539745626	2
36	1.8510946051042803	2
37	8.193515132300185	2
38	4.435781600757979	2
39	1.1978748582380099	2
40	3.6160595686672368	2
41	0.8364992553669641	2
42	2.386313930126573	2
43	1.0966920253629597	2
44	1.1478547333066453	2
45	6.3604608025316045	2
46	3.1912317792770124	2
47	2.1448702046338317	2
48	7.546652101955017	2
49	13.972906583536913	2
50	4.113381496449681	2
51	0.3778241998699702	2
52	0.5591563494788664	2
53	0.22871366987212582	2
54	1.4314484383904922	2
55	3.164468232993633	2
56	5.280138439195151	2
57	0.3267420870868253	2
58	7.763036656583226	2
59	2.7917913745599625	2
60	5.542610861802084	2
61	1.0496651687946843	2
62	1.167238208748055	2
63	2.6266601751385434	2
64	1.2303851563267594	2
65	2.8614010548198214	2
66	2.0399902710565323	2
67	0.7261790391847288	2
68	1.8488149603859065	2
69	4.9881771575381535	2
70	1.5188598055566112	2
71	0.5890335038323661	2
72	2.1132337869808206	2
73	3.9816610662643277	2
74	0.8981814645663526	2
75	10.522242946917201	2
76	3.0034597027256367	2
77	2.7878246419858956	2
78	1.6418987541851655	2
79	0.8782842682770968	2
80	0.9188258606040307	2
81	3.258911985761849	2
82	2.4976225703145216	2
83	1.6515844364244336	2
84	0.6155403115984889	2
85	5.475858182480517	2
86	4.761128867099062	2
87	0.8422745547003382	2
88	1.6519427019647477	2
89	3.2850265229465916	2
90	4.086719683862636	2
91	1.78888259434965	2
92	1.5660516141872503	2
93	5.829265530694476	2
94	0.6138373415688444	2
95	6.022820628464029	2
96	1.221127571575466	2
97	1.6343747316415658	2
98	0.6225609164326681	2
99	3.5691461771580992	2
100	0.29093340555608044	2
101	5.7963417485102395	2
102	0.5299723410160286	2
103	2.089842458463308	2
104	2.4614723126760922	2
105	2.2908209310665546	2
106	2.129571023025799	2
107	5.4046218416189475	2
108	0.994796643311599	2
109	1.5287485771485152	2
110	2.6363319404173824	2
111	0.2205898251892129	2
112	1.4044683282701176	2
113	1.2310585301512926	2
114	1.6470246256666838	2
115	4.928131621660872	2
116	1.3225583346067527	2
117	8.015548744912085	2
118	7.966152296500817	2
119	3.3887500755225575	2
120	2.4678428105363515	2
121	3.530721615995853	2
122	2.6231331537765827	2
123	2.9301246399729743	2
124	0.7195554133527295	2
125	5.446800285810189	2
126	5.714322788993313	2
127	1.3498290679363427	2
128	6.521147156827649	2
129	3.0434369992952344	2
130	5.002835601487785	2
131	2.347191015451291	2
132	1.1192920352476048	2
133	5.53887447885398	2
134	3.4074101396322347	2
135	2.961714047003381	2
136	1.1498778775590601	2
137	3.1891510260539864	2
138	4.133891274884021	2
139	1.7713916646698236	2
140	3.3274163319124668	2
141	0.8500488202738958	2
142	1.4207687552727137	2
143	2.9015980702586064	2
144	5.053432777421884	2
145	1.0092241294903457	2
146	0.3210335230497613	2
147	2.8567791264175613	2
148	4.499426931670469	2
149	1.132198828750028	2
150	3.7474053584872054	2
151	2.54503324102248	2
152	0.10894730684996036	2
153	4.176907425065468	2
154	1.1118163357144188	2
155	2.1473933877102835	2
156	2.5957838304830934	2
157	0.6669494873569877	2
158	4.047771472375681	2
159	1.373408419374106	2
160	0.5262806182497866	2
161	2.5147028126821716	2
162	0.4761239961727925	2
163	1.0937897004333654	2
164	4.105943944512528	2
165	6.392786697788604	2
166	2.7626426035113423	2
167	4.7730429898739395	2
168	2.5941940148942213	2
169	7.346630717853092	2
170	0.9234192105984648	2
171	4.34748748876525	2
172	1.1812063856848596	2
173	2.4220915097243405	2
174	3.4593803997560832	2
175	1.3956325893989587	2
176	1.5182609406498153	2
177	3.076480382090944	2
178	0.14296936182262612	2
179	2.7992683548057644	2
180	2.7212500671221376	2
181	3.4760529192455225	2
182	1.7246845594353593	2
183	3.939694806262524	2
184	0.5348804966676957	2
185	1.6754459342981383	2
186	1.4839776056830414	2
187	2.3469913662423414	2
188	0.6784006307218992	2
189	10.282486628087813	2
190	3.819707965236242	2
191	4.601641437753739	2
192	2.320183504661107	2
193	1.3571633898127713	2
194	1.4101607480697393	2
195	4.309786640168048	2
196	2.8407891162791405	2
197	2.377472796281296	2
198	1.7321170496078149	2
199	0.44960313448443145	2
200	0.8235706831968492	2
201	0.7910557392710659	2
202	5.156452427132284	2
203	0.5968231266478758	2
204	3.0582165654165423	2
205	3.0542482788786924	2
206	1.0810095219409486	2
207	1.5233427657734202	2
208	2.915242101240052	2
209	1.5764032772288354	2
210	8.891353909483282	2
211	0.7870105356341132	2
212	3.5188656641690703	2
213	2.742304465033466	2
214	1.0643980624584786	2
215	6.6451547900806895	2
216	0.18788663701623154	2
217	2.703402200557111	2
218	1.435579719817943	2
219	0.6152256355671413	2
220	0.7938819146015842	2
221	4.406127387291576	2
222	2.9304512697051393	2
223	1.6632529695347622	2
224	0.5245244057310338	2
225	4.288218334843543	2
226	2.2340027628250154	2
227	0.5942146419308291	2
228	10.409270236573569	2
229	1.1973857429148347	2
230	1.3284333952173848	2
231	6.120725665572445	2
232	1.1001224580632092	2
233	8.600535172600372	2
234	1.4303888105113876	2
235	0.3966253693903597	2
236	2.8572659552704325	2
237	1.2212555361226511	2
238	2.766328826774807	2
239	8.4187652906434	2
240	1.38011773212525	2
241	4.572472059721714	2
242	1.2808143329143107	2
243	4.160991403046945	2
244	2.293634440592305	2
245	1.1217499800891324	2
246	1.0080295682511995	2
247	0.1766652358232397	2
248	5.618102760919088	2
249	1.979616139968962	2
250	2.0531690004815264	2
251	3.7244899940360177	2
252	0.7559659709478943	2
253	0.9001038903087674	2
254	1.1035815468943446	2
255	2.8586721218254776	2
256	9.869432218530093	2
257	3.9136626976872226	2
258	3.4620859530909223	2
259	2.410109615773074	2
260	4.692345322511977	2
261	10.120588572338125	2
262	2.022122789155186	2
263	5.926351732267698	2
264	1.858980767166864	2
265	4.020268459379481	2
266	1.7939326744120512	2
267	5.128869680888428	2
268	1.7088219715144288	2
269	3.553874472653572	2
270	3.8044265280503433	2
271	0.3975972821255437	2
272	4.771746851274117	2
273	2.8482659949020896	2
274	4.963563560832189	2
275	0.7093047745209723	2
276	8.858679428465809	2
277	2.8200428387664904	2
278	5.215525123670104	2
279	1.4458090164294968	2
280	0.7243647226590314	2
281	0.30922614655548897	2
282	8.738778229443389	2
283	5.331747772703281	2
284	1.1817927462948647	2
285	1.3563156705087263	2
286	2.0080037800680373	2
287	8.891947892476688	2
288	4.115223072701889	2
289	4.214077346881405	2
290	1.7024897302861834	2
291	4.700953890176089	2
292	3.07845186877927	2
293	0.52613113419971	2
294	4.532364918532654	2
295	8.807414798972943	2
296	0.22924319085240327	2
297	3.120456153948348	2
298	0.5702372240131472	2
299	3.3902572368773183	2
300	2.331079040404084	2
301	7.515662384241417	2
302	3.331587970116715	2
303	4.189234750327143	2
304	2.9011761468736506	2
305	5.686189086632538	2
306	5.1067565404402595	2
307	6.079098411221572	2
308	1.3086459744500596	2
309	2.336829961905485	2
310	1.031785617172184	2
311	1.5692851687049914	2
312	0.47963905510780347	2
313	3.5906571672665195	2
314	1.1738535712778924	2
315	6.721264175127051	2
316	1.1294095509577704	2
317	4.844437369902356	2
318	0.6369034590368932	2
319	3.2123463698020185	2
320	3.9880103182943083	2
321	0.13706797148135985	2
322	0.2845224238563083	2
323	9.634447815463865	2
324	0.8053189491853593	2
325	9.256935142943401	2
326	0.2839891109221889	2
327	5.215693773011074	2
328	7.319258010664695	2
329	1.6462463886257355	2
330	2.151455273198795	2
331	4.028551293687359	2
332	8.061715472759179	2
333	0.9449055441988795	2
334	2.1666991641645197	2
335	3.911344487344687	2
336	2.704611997237564	2
337	1.235016264729153	2
338	0.9415967815754617	2
339	8.677895788748714	2
340	4.37178443386042	2
341	2.945181658666939	2
342	4.563722090419634	2
343	1.9020140631571734	2
344	6.416624647302802	2
345	0.7829441200244526	2
346	0.8363853171227751	2
347	2.9518712771084834	2
348	4.534592697273845	2
349	0.8195962577030838	2
350	1.037594456519048	2
351	5.382085078150107	2
352	0.20434968434740877	2
353	6.717079025772566	2
354	3.5050981536592416	2
355	4.639405929456596	2
356	7.197382726726677	2
357	5.375358992125169	2
358	3.7859174887809552	2
359	0.07327436280964963	2
360	0.4221975811307537	2
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912	1.3028387566983497	2
913	7.620422520117171	2
914	1.7460259992454383	2
915	6.094673123507409	2
916	1.993229129085144	2
917	4.180841814127165	2
918	1.4970754267824788	2
919	1.618148623497065	2
920	0.45977352757401385	2
921	3.8868798192056593	2
922	3.2955870042751116	2
923	18.042717803535684	2
924	0.21837831641039226	2
925	1.4757125279772783	2
926	0.6068945761811223	2
927	3.1530312522268686	2
928	2.2283801261416656	2
929	0.5722982067229668	2
930	2.219610375651955	2
931	0.628085631086837	2
932	3.5643811734021598	2
933	3.106059166237632	2
934	2.4180684245778714	2
935	0.7806430949149676	2
936	1.0501036814602538	2
937	0.951181746009044	2
938	0.6007087265906794	2
939	0.947548088072918	2
940	4.660083687535421	2
941	1.3921253288209456	2
942	2.2504869449013256	2
943	1.0699552004003199	2
944	1.3729539603509606	2
945	2.1839164217100895	2
946	9.584941299213453	2
947	1.7016125350248648	2
948	0.020667728949907156	2
949	1.1064153568797892	2
950	5.5135805037210135	2
951	2.044762865671598	2
952	4.693654429747006	2
953	6.602632194371077	2
954	5.945928866826845	2
955	2.472253931812453	2
956	2.418904593680291	2
957	2.6718240266772946	2
958	4.978887137574222	2
959	1.9326035193625937	2
960	1.2007721751192857	2
961	6.296372345954184	2
962	0.14672661887742117	2
963	10.905994724428375	2
964	3.054534653558444	2
965	5.088801151884991	2
966	0.7575895228403144	2
967	3.2879873527721553	2
968	2.1665867848975617	2
969	0.8332814231377949	2
970	7.21435613934723	2
971	3.4429444212625775	2
972	4.078270163959651	2
973	4.38680165701483	2
974	1.4432168431673809	2
975	2.545051964521767	2
976	0.7259213043995536	2
977	2.1956494285384047	2
978	1.8886346382191113	2
979	1.612246660422779	2
980	1.5858647499067136	2
981	1.7363651204150827	2
982	3.033712170587012	2
983	2.5850381902935444	2
984	1.8762105207289488	2
985	0.7504866685834322	2
986	4.137099301395242	2
987	3.6103770912853923	2
988	0.5538500602931423	2
989	1.1449890056060186	2
990	6.405797394825508	2
991	7.033213770042238	2
992	1.2702105927500396	2
993	1.2302727461739893	2
994	7.492295806630473	2
995	2.385311999134176	2
996	8.399861895321536	2
997	0.9304849137874841	2
998	1.0767091219319416	2

Rank Sensitivity

Explicit rank cutoff sweep; no p-values are inferred.

rank_rtol	rank	normal_stress	normal_fraction	repair_norm
1e-12	2	11.899999999770822	0.21538461538046735	0.5283937925425799
1e-08	2	11.899999999770822	0.21538461538046735	0.5283937925425799
0.0001	2	11.899999999770822	0.21538461538046735	0.5283937925425799

Weighting Sensitivity

Absolute stresses under different metrics are not directly comparable.

scheme	rank	total_stress	tangent_stress	normal_stress	normal_fraction	repair_norm	analysis_settings
equal	2	2.2099999999999995	1.7340000000091669	0.4759999999908328	0.21538461538046738	0.5283937925425799	{"metric": "euclidean", "sigma": null, "covariance": null, "whitener": null, "rank_rtol": 1.1102230246251565e-15, "rank_atol": 0.0, "weights": null, "sigma_input": null, "sigma_floor": null, "sigma_floor_quantile": null, "applied_sigma_floor": null}
sigma_0.2	2	55.25	43.35000000022918	11.899999999770822	0.21538461538046735	0.5283937925425799	{"metric": "sigma", "sigma": [0.2, 0.2, 0.2, 0.2, 0.2], "covariance": null, "whitener": null, "rank_rtol": 1.1102230246251565e-15, "rank_atol": 0.0, "weights": null, "sigma_input": [0.2, 0.2, 0.2, 0.2, 0.2], "sigma_floor": null, "sigma_floor_quantile": null, "applied_sigma_floor": null}

Parameter Diagnostics

Separately supplied diagnostics; scale and truncation may differ from the main result. Retained variance factors are not full uncertainties.

index	label	parameter_scale	identifiable_participation	null_participation	retained_variance_factor	has_null_component
0	intercept	1.0	1.0	0.0	0.007999999999945832	False
1	slope	1.0	1.0	0.0	0.003999999999980249	False

Parameter Diagnostic Settings

quantity	value
rank	2
singular_values	[15.811388300880932, 11.1803398875368]
retained_directions	[[1.6500868289262163e-11, 1.0], [1.0, -1.6500868289262163e-11]]
retained_condition_number	1.4142135623717986
full_column_condition_number	1.4142135623717986
condition_indices	[1.0, 1.4142135623717986]

Metadata

User-supplied provenance; not independently inferred or verified.

key	value
data	Synthetic demonstration, not experimental evidence
model	intercept + slope * x
x	[-2.0, -1.0, 0.0, 1.0, 2.0]
parameter_coordinates	raw; dimensionless example
units	dimensionless synthetic observations
fit_protocol	supplied baseline; not fitted to these observations
calibration_seed	42
calibration_resamples	999
calibration_noise	independent zero-mean Gaussian, sigma=0.2
calibration_scope	conditional fixed-geometry reference, not refitting

Interpretation and provenance

Stress is the squared norm in the selected observation metric. RMSE uses original observation units; mixed units require care.
Normal stress is local to the supplied parameter point, Jacobian, metric and retained rank. It can contain noise and does not prove global model failure.
Repair magnitude and parameter participation depend on parameter coordinates. Retained variance factors are not full parameter uncertainties.
Missing optional analyses are marked Not calculated. No fit, calibration or sensitivity calculation is run by make_report.
CSV/JSON retain full numerical precision. NaN means undefined; Infinity is retained. JSON encodes both as strings.
Model code, dataset identifiers, solver/fitting settings, units and RNG state are not inferred; record them with metadata for reproducibility.
Repair trial tangent/normal stresses use the fixed baseline tangent space. An improving trial is not a global optimisation certificate.
The tail interval describes Monte Carlo exceedance uncertainty, not structural error. The p-value is conditional on the specified null; plug-in bootstrap calibration is approximate.