CDI-CAT-SP Norms Tables

Our goal is to produce estimated WG and WS raw scores for each ability level, so that we can produce norms tables for the CDI-CAT that are equivalent norms tables for the full WG and WS forms.

These norms are based on all available Wordbank data: 407 WG administrations and 1092 WS administrations. (The same data we used to fit the IRT model.) For the by-sex norms: 0 administrations are missing sex information.

WG Raw Score Norms

Both Sexes

## GAMLSS-RS iteration 1: Global Deviance = -2119.834 
## GAMLSS-RS iteration 2: Global Deviance = -2189.418 
## GAMLSS-RS iteration 3: Global Deviance = -2228.333 
## GAMLSS-RS iteration 4: Global Deviance = -2249.187 
## GAMLSS-RS iteration 5: Global Deviance = -2258.776 
## GAMLSS-RS iteration 6: Global Deviance = -2262.511 
## GAMLSS-RS iteration 7: Global Deviance = -2263.697 
## GAMLSS-RS iteration 8: Global Deviance = -2264.042 
## GAMLSS-RS iteration 9: Global Deviance = -2264.138 
## GAMLSS-RS iteration 10: Global Deviance = -2264.163 
## GAMLSS-RS iteration 11: Global Deviance = -2264.17 
## GAMLSS-RS iteration 12: Global Deviance = -2264.171 
## GAMLSS-RS iteration 13: Global Deviance = -2264.172

## new prediction 
## new prediction

## new prediction 
## new prediction

age	5	10	15	20	25	30	35	40	45	50	55	60	65	70	75	80	85	90	95	99	N
12	0	0	1	1	2	2	3	4	5	6	8	9	11	14	17	20	25	32	44	72	89
13	0	0	1	2	2	3	4	6	7	9	11	13	16	19	23	28	34	43	59	94	83
14	0	1	1	2	3	5	6	8	10	12	15	18	22	26	31	37	46	57	77	121	76
15	0	1	2	3	5	7	9	11	14	17	21	25	30	35	42	50	61	76	101	154	61
16	1	2	3	5	7	10	13	16	20	24	29	35	41	48	57	68	81	100	130	192	143
17	1	3	5	8	11	15	19	23	28	34	41	48	56	66	77	90	107	130	166	234	114
18	2	4	8	12	16	21	27	33	40	48	56	65	76	88	102	119	139	166	207	279	139

Males

## GAMLSS-RS iteration 1: Global Deviance = -1141.951 
## GAMLSS-RS iteration 2: Global Deviance = -1184.949 
## GAMLSS-RS iteration 3: Global Deviance = -1207.38 
## GAMLSS-RS iteration 4: Global Deviance = -1218.897 
## GAMLSS-RS iteration 5: Global Deviance = -1224.269 
## GAMLSS-RS iteration 6: Global Deviance = -1226.456 
## GAMLSS-RS iteration 7: Global Deviance = -1227.205 
## GAMLSS-RS iteration 8: Global Deviance = -1227.443 
## GAMLSS-RS iteration 9: Global Deviance = -1227.515 
## GAMLSS-RS iteration 10: Global Deviance = -1227.536 
## GAMLSS-RS iteration 11: Global Deviance = -1227.543 
## GAMLSS-RS iteration 12: Global Deviance = -1227.544 
## GAMLSS-RS iteration 13: Global Deviance = -1227.545

## new prediction 
## new prediction

age	5	10	15	20	25	30	35	40	45	50	55	60	65	70	75	80	85	90	95	99	N
12	0	0	1	1	1	2	3	4	5	6	7	9	11	13	16	20	25	32	45	73	51
13	0	0	1	1	2	3	4	5	6	8	10	12	15	18	22	26	32	41	57	91	39
14	0	1	1	2	3	4	6	7	9	11	14	16	20	24	28	34	42	53	71	112	31
15	0	1	2	3	4	6	8	10	12	15	18	22	26	31	37	44	54	67	89	137	33
16	1	2	3	5	7	9	11	14	17	21	25	29	35	41	48	57	69	85	111	166	73
17	1	3	5	7	9	12	16	20	24	28	33	39	46	54	63	74	88	107	137	198	53
18	2	4	7	10	14	18	22	27	32	38	45	52	60	70	81	94	111	133	167	233	71

Females

## GAMLSS-RS iteration 1: Global Deviance = -983.904 
## GAMLSS-RS iteration 2: Global Deviance = -1015.37 
## GAMLSS-RS iteration 3: Global Deviance = -1033.785 
## GAMLSS-RS iteration 4: Global Deviance = -1043.481 
## GAMLSS-RS iteration 5: Global Deviance = -1047.752 
## GAMLSS-RS iteration 6: Global Deviance = -1049.152 
## GAMLSS-RS iteration 7: Global Deviance = -1049.551 
## GAMLSS-RS iteration 8: Global Deviance = -1049.656 
## GAMLSS-RS iteration 9: Global Deviance = -1049.682 
## GAMLSS-RS iteration 10: Global Deviance = -1049.689 
## GAMLSS-RS iteration 11: Global Deviance = -1049.69 
## GAMLSS-RS iteration 12: Global Deviance = -1049.691

## new prediction 
## new prediction

age	5	10	15	20	25	30	35	40	45	50	55	60	65	70	75	80	85	90	95	99	N
12	0	0	1	1	2	2	3	4	5	7	8	10	12	14	17	21	25	32	44	72	38
13	0	1	1	2	3	4	5	6	8	9	11	14	17	20	24	29	35	45	61	96	44
14	0	1	2	3	4	5	7	9	11	14	16	20	24	28	34	40	49	62	82	128	45
15	0	1	3	4	6	8	10	13	16	20	24	28	34	40	47	56	68	84	111	166	28
16	1	2	4	6	9	12	15	19	23	28	34	40	47	56	65	77	93	113	146	212	70
17	1	3	6	9	13	18	22	28	34	41	48	57	66	77	90	106	125	150	190	262	61
18	2	5	9	14	19	26	32	40	48	58	68	79	92	106	123	142	165	195	240	312	68

WS Raw Score Norms

Both Sexes

## GAMLSS-RS iteration 1: Global Deviance = -696.0835 
## GAMLSS-RS iteration 2: Global Deviance = -707.4526 
## GAMLSS-RS iteration 3: Global Deviance = -708.8602 
## GAMLSS-RS iteration 4: Global Deviance = -709.0801 
## GAMLSS-RS iteration 5: Global Deviance = -709.2304 
## GAMLSS-RS iteration 6: Global Deviance = -709.133 
## GAMLSS-RS iteration 7: Global Deviance = -709.1398 
## GAMLSS-RS iteration 8: Global Deviance = -709.1423 
## GAMLSS-RS iteration 9: Global Deviance = -709.1429

## new prediction 
## new prediction

## new prediction 
## new prediction

age	5	10	15	20	25	30	35	40	45	50	55	60	65	70	75	80	85	90	95	99	N
16	2	5	10	14	20	26	33	41	49	58	69	81	94	109	127	148	175	211	268	377	143
17	3	8	13	19	26	33	42	51	61	72	84	97	112	130	150	174	203	242	303	415	114
18	4	10	17	25	33	42	52	63	74	87	101	116	134	153	176	202	234	277	341	454	139
19	6	13	22	31	41	52	64	77	90	105	121	139	158	180	205	234	269	313	380	492	71
20	8	18	28	40	52	65	78	93	109	126	144	164	186	210	237	268	305	352	420	528	97
21	11	23	36	50	64	79	95	112	130	149	170	192	216	242	271	304	343	391	458	561	76
22	15	30	46	62	79	97	115	134	155	176	198	223	248	276	307	342	382	430	495	589	68
23	19	38	57	77	96	117	138	159	182	205	230	256	283	313	345	380	420	467	529	612	83
24	26	49	71	94	116	139	163	187	211	237	263	290	319	350	382	418	457	502	560	631	72
25	33	61	88	113	139	165	191	217	243	270	298	327	356	387	419	454	492	535	586	646	73
26	42	76	106	136	164	193	221	249	277	305	334	363	393	423	455	489	524	563	608	657	74
27	53	92	127	160	192	222	252	282	311	340	370	399	428	458	489	521	553	588	627	665	75
28	66	111	150	186	220	253	285	316	346	375	405	434	463	491	520	550	579	610	642	671	79
29	80	131	174	214	250	285	318	350	380	410	439	467	495	522	549	575	602	628	653	674	75
30	96	153	200	243	282	318	352	384	415	444	472	500	526	551	575	599	621	642	662	677	62

Males

## GAMLSS-RS iteration 1: Global Deviance = -395.7977 
## GAMLSS-RS iteration 2: Global Deviance = -403.8068 
## GAMLSS-RS iteration 3: Global Deviance = -405.6336 
## GAMLSS-RS iteration 4: Global Deviance = -406.0592 
## GAMLSS-RS iteration 5: Global Deviance = -406.2238 
## GAMLSS-RS iteration 6: Global Deviance = -406.2156 
## GAMLSS-RS iteration 7: Global Deviance = -406.2286 
## GAMLSS-RS iteration 8: Global Deviance = -406.2334 
## GAMLSS-RS iteration 9: Global Deviance = -406.2349 
## GAMLSS-RS iteration 10: Global Deviance = -406.2354

## new prediction 
## new prediction

age	5	10	15	20	25	30	35	40	45	50	55	60	65	70	75	80	85	90	95	99	N
16	2	4	8	12	17	22	28	35	42	51	60	71	83	97	113	133	158	192	247	353	34
17	2	6	11	16	22	29	36	44	53	63	74	86	100	116	135	157	185	222	280	390	24
18	4	9	14	21	28	37	45	55	66	77	90	104	120	138	159	184	214	255	317	429	31
19	5	12	19	28	37	46	57	68	81	94	109	125	143	163	187	214	247	290	355	467	36
20	7	16	25	35	46	58	71	84	98	114	131	149	169	191	217	246	282	327	393	504	49
21	10	21	33	45	58	72	87	102	118	136	155	175	197	222	249	281	318	365	432	537	42
22	13	27	42	57	72	88	105	123	141	161	182	204	228	254	284	317	355	403	468	567	37
23	18	35	52	70	88	107	126	145	166	188	211	235	260	288	319	353	392	439	502	592	37
24	24	44	65	85	106	127	148	170	193	217	241	267	294	323	354	389	428	474	534	614	35
25	30	55	79	103	126	149	173	197	222	247	273	300	328	358	389	424	462	506	561	631	42
26	38	68	95	122	148	174	199	225	251	278	305	333	362	392	423	457	494	535	586	645	40
27	47	82	113	143	171	199	227	254	282	310	337	366	395	425	456	488	523	561	606	655	37
28	58	97	132	165	196	226	255	284	313	341	370	398	427	457	487	517	550	585	624	663	41
29	69	114	153	189	222	254	285	315	344	373	402	430	459	487	516	545	574	605	638	669	32
30	82	132	175	214	249	283	315	346	376	405	434	462	489	516	543	569	596	623	650	673	34

Females

## GAMLSS-RS iteration 1: Global Deviance = -317.5945 
## GAMLSS-RS iteration 2: Global Deviance = -320.1973 
## GAMLSS-RS iteration 3: Global Deviance = -320.3657 
## GAMLSS-RS iteration 4: Global Deviance = -320.3776 
## GAMLSS-RS iteration 5: Global Deviance = -320.3789 
## GAMLSS-RS iteration 6: Global Deviance = -320.379

## new prediction 
## new prediction

age	5	10	15	20	25	30	35	40	45	50	55	60	65	70	75	80	85	90	95	99	N
16	3	7	12	17	24	31	39	48	58	68	80	94	109	126	146	170	200	239	301	414	34
17	4	9	15	22	30	39	48	59	70	82	96	111	128	147	169	195	227	270	334	448	33
18	5	12	20	29	38	48	59	71	84	99	114	131	150	171	195	223	258	302	368	481	31
19	7	16	26	36	47	60	73	86	101	117	135	154	174	198	224	254	291	337	404	514	35
20	10	21	33	45	59	73	88	104	121	139	158	179	202	227	255	287	326	373	441	546	48
21	13	27	41	56	72	89	106	124	143	163	185	208	232	259	289	323	362	411	477	574	34
22	17	34	52	70	88	107	127	147	168	191	214	239	266	294	326	360	400	448	512	600	31
23	23	44	65	86	107	129	151	174	197	221	247	273	301	331	363	399	438	485	544	621	46
24	30	56	81	105	129	154	178	203	229	255	282	310	339	370	402	437	476	520	574	639	37
25	39	70	99	127	155	182	209	236	264	292	320	349	378	409	441	475	512	552	600	653	31
26	50	87	121	153	183	213	243	272	301	330	359	388	418	448	479	512	545	581	622	663	34
27	63	106	145	181	214	247	278	309	339	369	399	428	457	486	515	545	575	607	640	670	38
28	78	128	171	211	248	282	316	348	379	409	438	466	494	522	549	575	602	628	654	675	38
29	94	152	200	243	282	319	354	386	418	447	476	503	529	555	579	602	624	645	664	677	43
30	112	177	230	276	318	356	392	425	456	485	512	538	562	584	605	624	642	658	671	679	28

Ability Norms

Replacing 0 inestimable abilities with -3.67. (Lowest ability in dataset otherwise is -3.54, producing 1 word.)

WG: Both Sexes

## GAMLSS-RS iteration 1: Global Deviance = 1749.79 
## GAMLSS-RS iteration 2: Global Deviance = 1749.72 
## GAMLSS-RS iteration 3: Global Deviance = 1749.72

## new prediction 
## new prediction

## new prediction 
## new prediction

age	5	10	15	20	25	30	35	40	45	50	55	60	65	70	75	80	85	90	95	99	N
12	-3.30	-3.01	-2.81	-2.66	-2.53	-2.41	-2.30	-2.19	-2.09	-1.99	-1.89	-1.79	-1.68	-1.57	-1.45	-1.32	-1.17	-0.97	-0.68	-0.14	89
13	-3.12	-2.82	-2.63	-2.47	-2.33	-2.21	-2.10	-1.99	-1.89	-1.79	-1.69	-1.58	-1.48	-1.36	-1.24	-1.11	-0.95	-0.75	-0.46	0.09	83
14	-2.94	-2.64	-2.44	-2.28	-2.14	-2.02	-1.90	-1.79	-1.69	-1.59	-1.48	-1.38	-1.27	-1.15	-1.03	-0.89	-0.73	-0.53	-0.23	0.33	76
15	-2.75	-2.45	-2.25	-2.08	-1.94	-1.82	-1.70	-1.59	-1.48	-1.38	-1.27	-1.17	-1.06	-0.94	-0.82	-0.68	-0.51	-0.31	0.00	0.56	61
16	-2.56	-2.26	-2.05	-1.88	-1.74	-1.62	-1.50	-1.39	-1.28	-1.17	-1.07	-0.96	-0.85	-0.73	-0.60	-0.46	-0.29	-0.09	0.22	0.80	143
17	-2.37	-2.06	-1.85	-1.68	-1.54	-1.41	-1.29	-1.18	-1.07	-0.96	-0.85	-0.75	-0.63	-0.51	-0.38	-0.24	-0.08	0.13	0.45	1.03	114
18	-2.18	-1.86	-1.65	-1.48	-1.34	-1.21	-1.09	-0.97	-0.86	-0.75	-0.64	-0.53	-0.42	-0.30	-0.17	-0.03	0.14	0.35	0.67	1.26	139

WG: Males

## GAMLSS-RS iteration 1: Global Deviance = 845.1966 
## GAMLSS-RS iteration 2: Global Deviance = 845.1609 
## GAMLSS-RS iteration 3: Global Deviance = 845.1609

## new prediction 
## new prediction

age	5	10	15	20	25	30	35	40	45	50	55	60	65	70	75	80	85	90	95	99	N
12	-3.30	-3.02	-2.83	-2.68	-2.56	-2.44	-2.34	-2.24	-2.14	-2.04	-1.95	-1.85	-1.75	-1.64	-1.53	-1.40	-1.25	-1.06	-0.79	-0.27	51
13	-3.13	-2.85	-2.66	-2.51	-2.38	-2.26	-2.15	-2.05	-1.95	-1.85	-1.75	-1.65	-1.55	-1.44	-1.33	-1.20	-1.04	-0.85	-0.57	-0.04	39
14	-2.97	-2.68	-2.48	-2.33	-2.20	-2.08	-1.97	-1.86	-1.76	-1.66	-1.56	-1.46	-1.36	-1.24	-1.13	-0.99	-0.84	-0.64	-0.36	0.18	31
15	-2.79	-2.50	-2.30	-2.15	-2.01	-1.89	-1.78	-1.67	-1.57	-1.47	-1.37	-1.26	-1.16	-1.05	-0.92	-0.79	-0.63	-0.44	-0.14	0.41	33
16	-2.62	-2.32	-2.12	-1.96	-1.82	-1.70	-1.59	-1.48	-1.38	-1.27	-1.17	-1.07	-0.96	-0.85	-0.72	-0.59	-0.43	-0.23	0.07	0.63	73
17	-2.44	-2.14	-1.93	-1.77	-1.63	-1.51	-1.40	-1.29	-1.18	-1.08	-0.97	-0.87	-0.76	-0.64	-0.52	-0.38	-0.22	-0.02	0.28	0.85	53
18	-2.25	-1.95	-1.75	-1.58	-1.44	-1.32	-1.20	-1.09	-0.98	-0.88	-0.77	-0.67	-0.56	-0.44	-0.32	-0.18	-0.01	0.19	0.49	1.06	71

WG: Females

## GAMLSS-RS iteration 1: Global Deviance = 894.0889 
## GAMLSS-RS iteration 2: Global Deviance = 894.0625 
## GAMLSS-RS iteration 3: Global Deviance = 894.0624

## new prediction 
## new prediction

age	5	10	15	20	25	30	35	40	45	50	55	60	65	70	75	80	85	90	95	99	N
12	-3.30	-3.00	-2.80	-2.64	-2.50	-2.37	-2.26	-2.15	-2.05	-1.94	-1.84	-1.73	-1.62	-1.51	-1.38	-1.25	-1.09	-0.88	-0.58	-0.02	38
13	-3.10	-2.79	-2.59	-2.43	-2.29	-2.16	-2.05	-1.94	-1.83	-1.73	-1.62	-1.51	-1.40	-1.29	-1.16	-1.02	-0.86	-0.66	-0.35	0.21	44
14	-2.89	-2.59	-2.38	-2.22	-2.08	-1.95	-1.83	-1.72	-1.61	-1.51	-1.40	-1.29	-1.18	-1.07	-0.94	-0.80	-0.64	-0.43	-0.12	0.45	45
15	-2.69	-2.38	-2.17	-2.01	-1.86	-1.74	-1.62	-1.50	-1.40	-1.29	-1.18	-1.07	-0.96	-0.84	-0.71	-0.57	-0.41	-0.20	0.11	0.69	28
16	-2.48	-2.17	-1.96	-1.79	-1.65	-1.52	-1.40	-1.29	-1.18	-1.07	-0.96	-0.85	-0.74	-0.62	-0.49	-0.34	-0.18	0.03	0.35	0.93	70
17	-2.28	-1.96	-1.75	-1.58	-1.44	-1.31	-1.19	-1.07	-0.96	-0.85	-0.74	-0.63	-0.51	-0.39	-0.26	-0.12	0.05	0.26	0.58	1.17	61
18	-2.08	-1.76	-1.54	-1.37	-1.22	-1.09	-0.97	-0.85	-0.74	-0.63	-0.52	-0.41	-0.29	-0.17	-0.04	0.11	0.28	0.49	0.81	1.41	68

WS: Both Sexes

## GAMLSS-RS iteration 1: Global Deviance = 2595.449 
## GAMLSS-RS iteration 2: Global Deviance = 2595.22 
## GAMLSS-RS iteration 3: Global Deviance = 2595.22

## new prediction 
## new prediction

## new prediction 
## new prediction

age	5	10	15	20	25	30	35	40	45	50	55	60	65	70	75	80	85	90	95	99	N
16	-1.96	-1.69	-1.50	-1.36	-1.23	-1.12	-1.01	-0.91	-0.82	-0.72	-0.63	-0.53	-0.43	-0.33	-0.22	-0.09	0.06	0.24	0.52	1.03	143
17	-1.83	-1.55	-1.37	-1.22	-1.09	-0.98	-0.87	-0.77	-0.67	-0.58	-0.48	-0.39	-0.29	-0.18	-0.07	0.06	0.21	0.39	0.67	1.19	114
18	-1.70	-1.42	-1.23	-1.08	-0.95	-0.84	-0.73	-0.63	-0.53	-0.44	-0.34	-0.24	-0.14	-0.03	0.08	0.21	0.36	0.55	0.83	1.35	139
19	-1.57	-1.29	-1.10	-0.95	-0.82	-0.70	-0.59	-0.49	-0.39	-0.29	-0.20	-0.10	0.00	0.11	0.23	0.36	0.51	0.70	0.98	1.51	71
20	-1.44	-1.16	-0.97	-0.81	-0.68	-0.57	-0.46	-0.35	-0.25	-0.15	-0.06	0.04	0.15	0.26	0.37	0.51	0.66	0.85	1.13	1.67	97
21	-1.32	-1.03	-0.84	-0.68	-0.55	-0.43	-0.32	-0.22	-0.12	-0.02	0.08	0.18	0.29	0.40	0.52	0.65	0.80	1.00	1.28	1.82	76
22	-1.20	-0.91	-0.71	-0.56	-0.42	-0.30	-0.19	-0.09	0.02	0.12	0.22	0.32	0.42	0.54	0.65	0.79	0.94	1.14	1.43	1.97	68
23	-1.07	-0.78	-0.58	-0.43	-0.29	-0.17	-0.06	0.05	0.15	0.25	0.35	0.45	0.56	0.67	0.79	0.92	1.08	1.28	1.57	2.12	83
24	-0.95	-0.65	-0.46	-0.30	-0.16	-0.04	0.07	0.18	0.28	0.38	0.48	0.58	0.69	0.80	0.92	1.06	1.22	1.41	1.71	2.26	72
25	-0.82	-0.53	-0.33	-0.17	-0.04	0.08	0.20	0.30	0.41	0.51	0.61	0.71	0.82	0.93	1.05	1.19	1.35	1.55	1.84	2.39	73
26	-0.70	-0.40	-0.21	-0.05	0.09	0.21	0.32	0.43	0.53	0.63	0.74	0.84	0.95	1.06	1.18	1.32	1.48	1.67	1.97	2.52	74
27	-0.58	-0.28	-0.08	0.08	0.21	0.33	0.45	0.55	0.66	0.76	0.86	0.96	1.07	1.18	1.31	1.44	1.60	1.80	2.09	2.64	75
28	-0.45	-0.16	0.04	0.20	0.33	0.45	0.57	0.67	0.78	0.88	0.98	1.08	1.19	1.30	1.43	1.56	1.72	1.92	2.21	2.77	79
29	-0.33	-0.04	0.16	0.32	0.45	0.57	0.69	0.79	0.90	1.00	1.10	1.20	1.31	1.42	1.55	1.68	1.84	2.04	2.33	2.89	75
30	-0.22	0.08	0.28	0.44	0.57	0.69	0.81	0.91	1.02	1.12	1.22	1.32	1.43	1.54	1.67	1.80	1.96	2.16	2.45	3.00	62

WS: Males

## GAMLSS-RS iteration 1: Global Deviance = 1287.104 
## GAMLSS-RS iteration 2: Global Deviance = 1285.901 
## GAMLSS-RS iteration 3: Global Deviance = 1285.89 
## GAMLSS-RS iteration 4: Global Deviance = 1285.889

## new prediction 
## new prediction

age	5	10	15	20	25	30	35	40	45	50	55	60	65	70	75	80	85	90	95	99	N
16	-2.04	-1.78	-1.60	-1.46	-1.34	-1.23	-1.13	-1.03	-0.94	-0.85	-0.75	-0.66	-0.57	-0.47	-0.36	-0.23	-0.09	0.08	0.35	0.84	34
17	-1.90	-1.63	-1.45	-1.31	-1.19	-1.08	-0.97	-0.88	-0.78	-0.69	-0.60	-0.50	-0.40	-0.30	-0.19	-0.07	0.08	0.26	0.53	1.03	24
18	-1.77	-1.49	-1.31	-1.16	-1.04	-0.93	-0.82	-0.72	-0.63	-0.53	-0.44	-0.34	-0.24	-0.14	-0.03	0.10	0.25	0.43	0.70	1.21	31
19	-1.63	-1.36	-1.17	-1.02	-0.89	-0.78	-0.67	-0.57	-0.48	-0.38	-0.28	-0.19	-0.09	0.02	0.13	0.26	0.41	0.60	0.87	1.39	36
20	-1.50	-1.22	-1.03	-0.88	-0.75	-0.64	-0.53	-0.43	-0.33	-0.23	-0.13	-0.04	0.07	0.17	0.29	0.42	0.57	0.76	1.04	1.57	49
21	-1.37	-1.09	-0.90	-0.75	-0.61	-0.50	-0.39	-0.29	-0.19	-0.09	0.01	0.11	0.21	0.32	0.44	0.57	0.72	0.91	1.20	1.73	42
22	-1.24	-0.96	-0.76	-0.61	-0.48	-0.36	-0.25	-0.15	-0.05	0.05	0.15	0.25	0.35	0.46	0.58	0.71	0.86	1.06	1.34	1.88	37
23	-1.12	-0.83	-0.64	-0.48	-0.35	-0.23	-0.12	-0.02	0.08	0.18	0.28	0.38	0.49	0.60	0.71	0.85	1.00	1.19	1.48	2.02	37
24	-0.99	-0.70	-0.51	-0.36	-0.22	-0.11	0.00	0.11	0.21	0.31	0.41	0.51	0.61	0.72	0.84	0.97	1.13	1.32	1.61	2.15	35
25	-0.87	-0.58	-0.39	-0.24	-0.10	0.01	0.12	0.23	0.33	0.43	0.53	0.63	0.73	0.84	0.96	1.09	1.25	1.44	1.73	2.27	42
26	-0.76	-0.47	-0.28	-0.12	0.01	0.13	0.24	0.34	0.44	0.54	0.64	0.74	0.85	0.96	1.08	1.21	1.36	1.56	1.84	2.38	40
27	-0.65	-0.36	-0.16	-0.01	0.12	0.24	0.35	0.45	0.56	0.65	0.75	0.86	0.96	1.07	1.19	1.32	1.47	1.67	1.96	2.49	37
28	-0.54	-0.25	-0.06	0.10	0.23	0.35	0.46	0.56	0.66	0.76	0.86	0.96	1.07	1.18	1.30	1.43	1.58	1.78	2.06	2.60	41
29	-0.43	-0.14	0.05	0.20	0.34	0.45	0.56	0.67	0.77	0.87	0.97	1.07	1.17	1.28	1.40	1.53	1.69	1.88	2.17	2.71	32
30	-0.33	-0.04	0.15	0.31	0.44	0.56	0.67	0.77	0.87	0.97	1.07	1.17	1.28	1.39	1.51	1.64	1.79	1.99	2.27	2.81	34

WS: Females

## GAMLSS-RS iteration 1: Global Deviance = 1288.396 
## GAMLSS-RS iteration 2: Global Deviance = 1288.258 
## GAMLSS-RS iteration 3: Global Deviance = 1288.258

## new prediction 
## new prediction

age	5	10	15	20	25	30	35	40	45	50	55	60	65	70	75	80	85	90	95	99	N
16	-1.84	-1.56	-1.38	-1.23	-1.10	-0.99	-0.88	-0.78	-0.69	-0.59	-0.50	-0.40	-0.30	-0.20	-0.08	0.04	0.19	0.38	0.65	1.17	34
17	-1.72	-1.44	-1.26	-1.11	-0.98	-0.87	-0.76	-0.66	-0.56	-0.47	-0.37	-0.27	-0.17	-0.07	0.05	0.17	0.32	0.51	0.79	1.30	33
18	-1.60	-1.32	-1.13	-0.99	-0.86	-0.74	-0.64	-0.53	-0.44	-0.34	-0.24	-0.15	-0.05	0.06	0.18	0.30	0.45	0.64	0.92	1.44	31
19	-1.48	-1.20	-1.01	-0.86	-0.73	-0.62	-0.51	-0.41	-0.31	-0.21	-0.12	-0.02	0.08	0.19	0.31	0.44	0.59	0.78	1.06	1.58	35
20	-1.36	-1.08	-0.89	-0.74	-0.61	-0.49	-0.38	-0.28	-0.18	-0.08	0.01	0.11	0.21	0.32	0.44	0.57	0.72	0.91	1.19	1.72	48
21	-1.25	-0.96	-0.77	-0.62	-0.48	-0.37	-0.26	-0.15	-0.05	0.04	0.14	0.24	0.35	0.46	0.57	0.70	0.86	1.05	1.34	1.87	34
22	-1.13	-0.84	-0.64	-0.49	-0.36	-0.24	-0.13	-0.02	0.08	0.18	0.27	0.38	0.48	0.59	0.71	0.84	1.00	1.19	1.48	2.02	31
23	-1.00	-0.71	-0.52	-0.36	-0.23	-0.11	0.00	0.11	0.21	0.31	0.41	0.51	0.62	0.73	0.85	0.98	1.14	1.33	1.62	2.16	46
24	-0.88	-0.59	-0.39	-0.23	-0.10	0.02	0.13	0.24	0.34	0.44	0.55	0.65	0.75	0.87	0.99	1.12	1.28	1.47	1.77	2.31	37
25	-0.75	-0.45	-0.26	-0.10	0.04	0.16	0.27	0.38	0.48	0.58	0.68	0.79	0.89	1.01	1.13	1.26	1.42	1.62	1.91	2.46	31
26	-0.62	-0.32	-0.12	0.04	0.17	0.30	0.41	0.52	0.62	0.72	0.82	0.93	1.04	1.15	1.27	1.41	1.57	1.77	2.06	2.62	34
27	-0.48	-0.19	0.01	0.17	0.31	0.43	0.55	0.66	0.76	0.86	0.97	1.07	1.18	1.29	1.42	1.55	1.71	1.91	2.21	2.77	38
28	-0.35	-0.05	0.15	0.31	0.45	0.57	0.69	0.79	0.90	1.00	1.11	1.21	1.32	1.44	1.56	1.70	1.86	2.06	2.36	2.92	38
29	-0.22	0.08	0.28	0.45	0.58	0.71	0.82	0.93	1.04	1.14	1.25	1.35	1.46	1.58	1.70	1.84	2.00	2.21	2.51	3.07	43
30	-0.09	0.21	0.42	0.58	0.72	0.85	0.96	1.07	1.18	1.28	1.39	1.50	1.61	1.72	1.85	1.99	2.15	2.35	2.66	3.23	28