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Covariates in the model prevent sampling times from being generated at run time. #858

@crgfn

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@crgfn

Below is the verbatim code from the "Individual Covariates" Article, with the event table sampling line commented out. After running, no samples are output. This still happens even when explicitly requesting samples in solve using length.out

dim(r1)
[1]  0 17

mod3 <- function() {
  ini({
    TKA   <- 2.94E-01
    TCL   <- 1.86E+01 
    TV2   <-4.02E+01
    TQ    <-1.05E+01
    TV3   <-2.97E+02
    TKin  <- 1
    TKout <- 1
    TEC50 <-200
  })
  model({
    KA            <- TKA
    CL            <- TCL * (WT / 70) ^ 0.75
    V2            <- TV2
    Q             <- TQ
    V3            <- TV3
    Kin           <- TKin
    Kout          <- TKout
    EC50          <- TEC50
    Tz            <- 8
    amp           <- 0.1
    C2            <- central/V2
    C3            <- peri/V3
    d/dt(depot)   <- -KA*depot
    d/dt(central) <- KA*depot - CL*C2 - Q*C2 + Q*C3
    d/dt(peri)    <-                    Q*C2 - Q*C3
    d/dt(eff)     <-  Kin - Kout*(1-C2/(EC50+C2))*eff
    eff(0)        <- 1  ## This specifies that the effect compartment starts at 1.
  })
}

ev <- et(amount.units="mg", time.units="hours") %>%
  et(amt=10000, cmt=1) %>%
  #  et(0,48,length.out=100) %>% 
  et(id=1:4)

set.seed(10)
rxSetSeed(10)
r1 <- solve(mod3, ev,
            iCov=data.frame(id=1:4, WT=rnorm(4, 70, 10)))

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