tests/testthat/test-rxsolve.R

In nlmixr2est: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines

nmTest({
  test_that("nlmixr interface for solving works", {

    one.cmt <- function() {
      ini({
        ## You may label each parameter with a comment
        tka <- 0.45 # Ka
        tcl <- log(c(0, 2.7, 100)) # Log Cl
        ## This works with interactive models
        ## You may also label the preceding line with label("label text")
        tv <- 3.45; label("log V")
        ## the label("Label name") works with all models
        eta.ka ~ 0.6
        eta.cl ~ 0.3
        eta.v ~ 0.1
        add.sd <- 0.7
      })
      model({
        ka <- exp(tka + eta.ka)
        cl <- exp(tcl + eta.cl)
        v <- exp(tv + eta.v)
        linCmt() ~ add(add.sd)
      })
    }

    f <- nlmixr(one.cmt, nlmixr2data::theo_sd, "rxSolve")

    expect_true(inherits(f, "rxSolve"))

    f2 <- nlmixr(one.cmt, nlmixr2data::theo_sd, "rxSolve", rxControl(returnType="data.frame"))

    expect_true(inherits(f, "data.frame"))


    one.cmt <- function() {
      ini({
        ## You may label each parameter with a comment
        tka <- 0.45 # Ka
        tcl <- log(c(0, 2.7, 100)) # Log Cl
        ## This works with interactive models
        ## You may also label the preceding line with label("label text")
        tv <- 3.45; label("log V")
        ## the label("Label name") works with all models
        eta.ka ~ 0.6
        eta.cl ~ 0.3
        eta.v ~ 0.1
        add.sd <- 0.7
      })
      model({
        ka <- exp(tka + eta.ka)
        cl <- exp(tcl + eta.cl)
        v <- exp(tv + eta.v)
        linCmt() ~ add(add.sd)
      })
    }

    expect_error(nlmixr(one.cmt, nlmixr2data::theo_sd, "matt"))

  })

})