if (!.Call(`_rxode2_isIntel`)) {
test_that("noop has identical mu-ref", {
pheno <- function() {
ini({
tcl <- log(0.008)
tv <- log(0.6)
eta.cl + eta.v ~ c(1,
0.01, 1)
add.err <- 0.1
})
model({
cl <- exp(tcl + eta.cl) # individual value of clearance
v <- exp(tv + eta.v) # individual value of volume
ke <- cl / v # elimination rate constant
d/dt(A1) = - ke * A1 # model differential equation
cp = A1 / v # concentration in plasma
cp ~ add(add.err) # define error model
})
}
p1 <- rxode2(pheno)
pheno2 <- function() {
ini({
tcl <- log(0.008)
tv <- log(0.6)
eta.cl + eta.v ~ c(1,
0.01, 1)
add.err <- 0.1
})
model({
cl <- exp(+tcl + eta.cl) # individual value of clearance
v <- exp(tv + eta.v) # individual value of volume
ke <- cl / v # elimination rate constant
d/dt(A1) = - ke * A1 # model differential equation
cp = A1 / v # concentration in plasma
cp ~ add(add.err) # define error model
})
}
p2 <- rxode2(pheno2)
expect_equal(p1$muRefCovariateDataFrame, p2$muRefCovariateDataFrame)
expect_equal(p1$muRefCovariateEmpty, p2$muRefCovariateEmpty)
expect_equal(p1$muRefCurEval, p2$muRefCurEval)
expect_equal(p1$muRefDataFrame, p2$muRefDataFrame)
expect_equal(p1$muRefDropParameters, p2$muRefDropParameters)
expect_equal(p1$muRefExtra, p2$muRefExtra)
expect_equal(p1$muRefExtraEmpty, p2$muRefExtraEmpty)
expect_equal(p1$nonMuEtas, p2$nonMuEtas)
})
}
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