test_that("multiple endpoint plots", { skip_on_cran() pk.turnover.emax3 <- function() { ini({ tktr <- log(1) tka <- log(1) tcl <- log(0.1) tv <- log(10) eta.ktr ~ 1 eta.ka ~ 1 eta.cl ~ 2 eta.v ~ 1 prop.err <- 0.1 pkadd.err <- 0.1 temax <- logit(0.8) tec50 <- log(0.5) tkout <- log(0.05) te0 <- log(100) eta.emax ~ .5 eta.ec50 ~ .5 eta.kout ~ .5 eta.e0 ~ .5 pdadd.err <- 10 }) model({ ktr <- exp(tktr + eta.ktr) ka <- exp(tka + eta.ka) cl <- exp(tcl + eta.cl) v <- exp(tv + eta.v) emax = expit(temax+eta.emax) ec50 = exp(tec50 + eta.ec50) kout = exp(tkout + eta.kout) e0 = exp(te0 + eta.e0) DCP = center/v PD=1-emax*DCP/(ec50+DCP) effect(0) = e0 kin = e0*kout d/dt(depot) = -ktr * depot d/dt(gut) = ktr * depot -ka * gut d/dt(center) = ka * gut - cl / v * center d/dt(effect) = kin*PD -kout*effect cp = center / v cp ~ prop(prop.err) + add(pkadd.err) effect ~ add(pdadd.err) | pca }) } suppressMessages( fit <- nlmixr2est::nlmixr( pk.turnover.emax3, nlmixr2data::warfarin, est = "saem", control=nlmixr2est::saemControl(print=0, nBurn = 10, nEm = 20), table=list(cwres=TRUE, npde=TRUE) ) ) apo <- nlmixr2est::augPred(fit) expect_error(plot(apo), NA) expect_error(vpcPlot(fit, n = 10), NA) expect_error(vpcPlot(fit, pred_corr=TRUE, n = 10), NA) suppressWarnings( expect_error(plot(fit), NA) ) suppressWarnings( expect_named(plot(fit)) ) expect_error(traceplot(fit), NA) #vdiffr::expect_doppelganger("vpc plot", vp) #vdiffr::expect_doppelganger("vpc pred_corr plot", vp2) #vdiffr::expect_doppelganger("traceplot", tp) #for (i in seq_along(ap)) { # vdiffr::expect_doppelganger(sprintf("augPred %03d", i), ap[[i]]) #} #for (i in seq_along(gof)) { # vdiffr::expect_doppelganger(sprintf("gof %03d", i), gof[[i]]) #} })