Table 3.

LCMM parameter estimates for 1 to 5 classes (N = 273) using a Quadratic Trajectory Function

N classes	Maximum log likelihood	AICa	BICb	Relative entropy	Class parameter	Class 1	Class 2	Class 3	Class 4	Class 5
1	716.85	− 1419.69	− 1394.43		N % APPAc	273 100% 1.000
2d	1076.39	− 2130.79	− 2091.09	0.878	N % APPA	210 77% 0.971	63 23% 0.968
3	1095.99	− 2161.98	− 2107.84	0.889	N % APPA	20 7% 0.965	202 74% 0.968	51 19% 0.905
4	1095.99	− 2153.98	− 2085.40	0.549	N % APPA	20 7% 0.965	198 73% 0.507	0 0% 0.000	55 20% 0.870
5	1095.99	− 2145.98	− 2062.97	0.428	N % APPA	20 7% 0.965	0 0% 0.000	0 0% 0.000	193 71% 0.344	60 22% 0.824

Trajectory function was weekly adherence = a₀ + a₁ * week + a₂ * week². No covariates were included

^aAkaike Information Criterion

^bBayesian Information Criterion

^cAverage posterior probability of assignment

^dPreferred model