Table 2

Toe nail data. Binary probit models featuring fixed interceptsα, treatment effects β1, time effects β2, and time-treatment interactions β3are compared. Random intercept (RI) and random intercept/random slope (RI + RS) models were estimated by the Laplace (L) and Adaptive Gauss-Hermite Quadrature (AGQ) approximations to the likelihood (implemented in packageslme4andglmmTMB). In addition, the exact discrete log-likelihood (2.6) was used for model fitting and evaluation (the in-sample log-likelihood (2.6) for all models and timings of all procedures are given in the last two lines)

RI
RI + RS
glmerglmerglmmTMBglmerglmmTMB
LAGQL(2.6)LL(2.6)
α–3.39–0.91–1.100.91–4.30–4.301.58
β1–0.03–0.11–0.17–0.110.050.050.27
β2–0.22–0.19–0.19–0.19–0.07–0.07–0.53
β3–0.07–0.06–0.06–0.06–0.23–0.23–0.18
γ14.572.122.102.1110.8811.015.22
γ20.000.000.000.00–1.64–1.68–0.37
γ30.000.000.000.000.790.830.53
LogLik–675.22–637.34–638.54–637.34–628.12–630.65–545.12
Time (s)3.832.402.042.207.533.448.08
RI
RI + RS
glmerglmerglmmTMBglmerglmmTMB
LAGQL(2.6)LL(2.6)
α–3.39–0.91–1.100.91–4.30–4.301.58
β1–0.03–0.11–0.17–0.110.050.050.27
β2–0.22–0.19–0.19–0.19–0.07–0.07–0.53
β3–0.07–0.06–0.06–0.06–0.23–0.23–0.18
γ14.572.122.102.1110.8811.015.22
γ20.000.000.000.00–1.64–1.68–0.37
γ30.000.000.000.000.790.830.53
LogLik–675.22–637.34–638.54–637.34–628.12–630.65–545.12
Time (s)3.832.402.042.207.533.448.08
Table 2

Toe nail data. Binary probit models featuring fixed interceptsα, treatment effects β1, time effects β2, and time-treatment interactions β3are compared. Random intercept (RI) and random intercept/random slope (RI + RS) models were estimated by the Laplace (L) and Adaptive Gauss-Hermite Quadrature (AGQ) approximations to the likelihood (implemented in packageslme4andglmmTMB). In addition, the exact discrete log-likelihood (2.6) was used for model fitting and evaluation (the in-sample log-likelihood (2.6) for all models and timings of all procedures are given in the last two lines)

RI
RI + RS
glmerglmerglmmTMBglmerglmmTMB
LAGQL(2.6)LL(2.6)
α–3.39–0.91–1.100.91–4.30–4.301.58
β1–0.03–0.11–0.17–0.110.050.050.27
β2–0.22–0.19–0.19–0.19–0.07–0.07–0.53
β3–0.07–0.06–0.06–0.06–0.23–0.23–0.18
γ14.572.122.102.1110.8811.015.22
γ20.000.000.000.00–1.64–1.68–0.37
γ30.000.000.000.000.790.830.53
LogLik–675.22–637.34–638.54–637.34–628.12–630.65–545.12
Time (s)3.832.402.042.207.533.448.08
RI
RI + RS
glmerglmerglmmTMBglmerglmmTMB
LAGQL(2.6)LL(2.6)
α–3.39–0.91–1.100.91–4.30–4.301.58
β1–0.03–0.11–0.17–0.110.050.050.27
β2–0.22–0.19–0.19–0.19–0.07–0.07–0.53
β3–0.07–0.06–0.06–0.06–0.23–0.23–0.18
γ14.572.122.102.1110.8811.015.22
γ20.000.000.000.00–1.64–1.68–0.37
γ30.000.000.000.000.790.830.53
LogLik–675.22–637.34–638.54–637.34–628.12–630.65–545.12
Time (s)3.832.402.042.207.533.448.08
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