R Crashes with NA ID for all observation rows

The example below crashes R on my system. Without the line setting ID to NA (mydata$ID[mydata$EVID == 0] <- NA), it does not crash.
library(rxode2)

model_anon <- function() {
  ini({
    ka_anon <- 0.2
    f_anon <- 0.8
    vc_anon <- 5
    hl_anon <- 5
  })
  model({
    mw_anon <- 50000
    mw_convert_anon <- 1 / mw_anon * 1e3
    kel_anon <- log(2)/(hl_anon/60/24)
    kel_target <- log(2)/hl_target
    kform_target <- conc_target_ss*kel_target
    kd_anon_target_umolL <- kd_anon_target/1000

    d/dt(depot_anon) <- -ka_anon*depot_anon
    d/dt(central_anon) <- ka_anon*depot_anon - kel_anon*central_anon

    # Calculate bound concentration
    central_anon_umolL <- central_anon/vc_anon*mw_convert_anon # Unit conversion from mg/L to umol/L
    totalconc <- central_anon_umolL + central_target + kd_anon_target_umolL
    bound_umolL <- (totalconc - sqrt(totalconc^2 - 4*central_anon_umolL*central_target))/2
    free_central_target <- central_target - bound_umolL

    d/dt(central_target) <- kform_target - kel_target*free_central_target - kel_anon*bound_umolL # Units are umol/L

    f(depot_anon) <- f_anon
    central_target(0) <- conc_target_ss
  })
}

mydata <-
  structure(list(conc_target_ss = c(NA, 0.12, NA, NA, NA, NA,
   NA, NA, NA, NA, NA, NA, NA, 0.12, NA, NA, NA, NA, NA, NA, NA,
   NA, NA, NA), hl_target = c(NA, 5, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, 5, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), kd_anon_target = c(NA,
1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA), ID = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
    1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), CMT = c(NA,
           "central_anon", NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
           "central_anon", NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), EVID = c(0, 1, 0, 0, 0,
      0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), TIME = c(-0.01,
       0, 0, 0.001, 0.00215443469003188, 0.00464158883361278, 0.01,
       0.0215443469003188, 0.0464158883361278, 0.1, 0.215443469003188,
       0.464158883361278, -0.01, 0, 0, 0.001, 0.00215443469003188, 0.00464158883361278,
       0.01, 0.0215443469003188, 0.0464158883361278, 0.1, 0.215443469003188,
       0.464158883361278), AMT = c(NA, 100, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, 100, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA), II = c(NA, 7, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
14, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), ADDL = c(NA, 11,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 5, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA)), row.names = c(NA, -24L), class = c("tbl_df",
    "tbl", "data.frame"))

mydata$ID[mydata$EVID == 0] <- NA

rxSolve(model_anon, events = mydata)
nlmixr2 / rxode2parse

R Crashes with NA ID for all observation rows #54
