categoricalObs.md
In Certara.RsNLME: Pharmacometric Modeling

categorical observation mapping works

[
  "",
  " Model Overview ",
  " ------------------------------------------- ",
  "Model Name        :  CategoricalModel_VPC",
  "Is population     :  TRUE",
  "Model Type        :  BLANK",
  "",
  " PML ",
  " ------------------------------------------- ",
  "test(){",
  "\tcfMicro(A1, Cl / V, first = (Aa = Ka))",
  "\tdosepoint(Aa)",
  "\tC = A1 / V",
  "\terror(CEps = 0.121901345020298)",
  "\tobserve(CObs = C * (1 + CEps))",
  "\tstparm(Ka = exp(tvlogKa + nlogKa))",
  "\tstparm(V = exp(tvlogV + nlogV))",
  "\tstparm(Cl = exp(tvlogCl + nlogCl))",
  "\tfixef(tvlogKa = c(,-0.356814599929669,))",
  "\tfixef(tvlogV = c(,1.63708816103322,))",
  "\tfixef(tvlogCl = c(,-0.224349311854445,))",
  "\tranef(diag(nlogV, nlogCl, nlogKa) = c(0.086595005, 0.10519789, 0.11496373))",
  "\tE = Emax * C / (EC50 + C)",
  "\terror(EEps = 0.179826134019237)",
  "\tobserve(EObs = E * (1 + EEps))",
  "\tmulti(CategoricalObs, ilogit, -E, -(E + CatParam))",
  "\tstparm(EC50 = exp(tvlogEC50 + nlogEC50))",
  "\tstparm(Emax = exp(tvlogEmax + nlogEmax))",
  "\tstparm(CatParam = exp(tvlogCatParam + nlogCatParam))",
  "\tfixef(tvlogEC50 = c(,2.29009944179079,))",
  "\tfixef(tvlogEmax = c(,-2.3003019591701,))",
  "\tfixef(tvlogCatParam = c(,0.997620495151059,))",
  "\tranef(diag(nlogEC50, nlogEmax, nlogCatParam) = c(0.066115814, 0.10268428, 1.1051435))}",
  "",
  " Structural Parameters ",
  " ------------------------------------------- ",
  " Ka V Cl EC50 Emax CatParam",
  " ------------------------------------------- ",
  "Observations:",
  "Observation Name :  CObs",
  "Effect Name      :  C",
  "Epsilon Name     :  CEps",
  "Epsilon Type     :  Multiplicative",
  "Epsilon frozen   :  FALSE",
  "is BQL           :  FALSE",
  " ------------------------------------------- ",
  "Observation Name :  EObs",
  "Effect Name      :  E",
  "Epsilon Name     :  EEps",
  "Epsilon Type     :  Multiplicative",
  "Epsilon frozen   :  FALSE",
  "is BQL           :  FALSE",
  " ------------------------------------------- ",
  " Column Mappings ",
  " ------------------------------------------- ",
  "Model Variable Name : Data Column name",
  "id                  : Subject",
  "time                : Nom_Time",
  "Aa                  : Amount",
  "CObs                : Conc",
  "EObs                : BodyWeight",
  "CategoricalObs      : Gender",
  ""
]