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Type 'q()' to quit R. > library(testthat) > library(TrialEmulation) > > data.table::setDTthreads(2) > test_check("TrialEmulation") Starting data manipulation Starting data extension Summary of extended data: Number of observations: 1939053 ------------------------------------------------------------ Starting data manipulation P(treatment = 1 | previous treatment = 0) for denominator Call: glm(formula = treatment ~ 1, family = binomial(link = "logit"), data = data) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -3.84325 0.04785 -80.31 <2e-16 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 4329.7 on 21263 degrees of freedom Residual deviance: 4329.7 on 21263 degrees of freedom AIC: 4331.7 Number of Fisher Scoring iterations: 6 P(treatment = 1 | previous treatment = 0) for numerator Call: glm(formula = treatment ~ 1, family = binomial(link = "logit"), data = data) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -3.84325 0.04785 -80.31 <2e-16 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 4329.7 on 21263 degrees of freedom Residual deviance: 4329.7 on 21263 degrees of freedom AIC: 4331.7 Number of Fisher Scoring iterations: 6 P(treatment = 1 | previous treatment = 1) for denominator Call: glm(formula = treatment ~ 1, family = binomial(link = "logit"), data = data) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 4.37616 0.06815 64.21 <2e-16 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 2346.7 on 17555 degrees of freedom Residual deviance: 2346.7 on 17555 degrees of freedom AIC: 2348.7 Number of Fisher Scoring iterations: 7 P(treatment = 1 | previous treatment = 1) for numerator Call: glm(formula = treatment ~ 1, family = binomial(link = "logit"), data = data) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 4.37616 0.06815 64.21 <2e-16 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 2346.7 on 17555 degrees of freedom Residual deviance: 2346.7 on 17555 degrees of freedom AIC: 2348.7 Number of Fisher Scoring iterations: 7 Starting data extension Summary of extended data: Number of observations: 963883 ------------------------------------------------------------ Starting data manipulation P(treatment = 1 | previous treatment = 0) for denominator Call: glm(formula = treatment ~ 1, family = binomial(link = "logit"), data = data) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -3.32517 0.03599 -92.4 <2e-16 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 6948.7 on 23042 degrees of freedom Residual deviance: 6948.7 on 23042 degrees of freedom AIC: 6950.7 Number of Fisher Scoring iterations: 6 P(treatment = 1 | previous treatment = 0) for numerator Call: glm(formula = treatment ~ 1, family = binomial(link = "logit"), data = data) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -3.32517 0.03599 -92.4 <2e-16 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 6948.7 on 23042 degrees of freedom Residual deviance: 6948.7 on 23042 degrees of freedom AIC: 6950.7 Number of Fisher Scoring iterations: 6 P(treatment = 1 | previous treatment = 1) for denominator Call: glm(formula = treatment ~ 1, family = binomial(link = "logit"), data = data) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 3.9124 0.0453 86.37 <2e-16 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 4892.8 on 25356 degrees of freedom Residual deviance: 4892.8 on 25356 degrees of freedom AIC: 4894.8 Number of Fisher Scoring iterations: 6 P(treatment = 1 | previous treatment = 1) for numerator Call: glm(formula = treatment ~ 1, family = binomial(link = "logit"), data = data) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 3.9124 0.0453 86.37 <2e-16 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 4892.8 on 25356 degrees of freedom Residual deviance: 4892.8 on 25356 degrees of freedom AIC: 4894.8 Number of Fisher Scoring iterations: 6 Starting data extension Summary of extended data: Number of observations: 1939053 ------------------------------------------------------------ [ FAIL 0 | WARN 0 | SKIP 25 | PASS 139 ] ══ Skipped tests (25) ══════════════════════════════════════════════════════════ • On CRAN (25): 'test-data_utils.R:6:3', 'test-data_utils.R:111:3', 'test-data_utils.R:131:3', 'test-generics.R:25:3', 'test-generics.R:66:3', 'test-generics.R:95:3', 'test-modelling.R:99:3', 'test-modelling.R:154:3', 'test-modelling.R:175:3', 'test-modelling.R:205:3', 'test-modelling.R:229:3', 'test-modelling.R:266:3', 'test-modelling.R:290:3', 'test-modelling.R:314:3', 'test-modelling.R:357:3', 'test-predict.R:26:3', 'test-predict.R:51:3', 'test-predict.R:108:3', 'test-sampling.R:5:3', 'test-sampling.R:15:3', 'test-sampling.R:34:3', 'test-sampling.R:54:3', 'test-sampling.R:86:3', 'test-sampling.R:103:3', 'test-sampling.R:180:3' [ FAIL 0 | WARN 0 | SKIP 25 | PASS 139 ] > > proc.time() user system elapsed 165.45 78.01 228.35