# Adapt your parameters

### Prerequisite

The examples below require the package `campismod`.

    library(campsismod)

### Retrieve your parameters

The examples below are illustrated based on the reference 2-compartment PK model that you find in the built-in library. This model has 5 parameters. All these parameters have inter-individual variability defined.

    model <- model_suite$pk$`2cpt_fo`
    model

    ## [MAIN]
    ## TVBIO=THETA_BIO
    ## TVKA=THETA_KA
    ## TVVC=THETA_VC
    ## TVVP=THETA_VP
    ## TVQ=THETA_Q
    ## TVCL=THETA_CL
    ##
    ## BIO=TVBIO
    ## KA=TVKA * exp(ETA_KA)
    ## VC=TVVC * exp(ETA_VC)
    ## VP=TVVP * exp(ETA_VP)
    ## Q=TVQ * exp(ETA_Q)
    ## CL=TVCL * exp(ETA_CL)
    ##
    ## [ODE]
    ## d/dt(A_ABS)=-KA*A_ABS
    ## d/dt(A_CENTRAL)=KA*A_ABS + Q/VP*A_PERIPHERAL - Q/VC*A_CENTRAL - CL/VC*A_CENTRAL
    ## d/dt(A_PERIPHERAL)=Q/VC*A_CENTRAL - Q/VP*A_PERIPHERAL
    ##
    ## [F]
    ## A_ABS=BIO
    ##
    ## [ERROR]
    ## CONC=A_CENTRAL/VC
    ## if (CONC <= 0.001) CONC=0.001
    ## CONC_ERR=CONC*(1 + EPS_PROP_RUV)
    ##
    ##
    ## THETA's:
    ##   name index value   fix                            label unit
    ## 1  BIO     1     1 FALSE                  Bioavailability <NA>
    ## 2   KA     2     1 FALSE                  Absorption rate  1/h
    ## 3   VC     3    10 FALSE    Volume of central compartment    L
    ## 4   VP     4    40 FALSE Volume of peripheral compartment    L
    ## 5    Q     5    20 FALSE           Inter-compartment flow  L/h
    ## 6   CL     6     3 FALSE                        Clearance  L/h
    ## OMEGA's:
    ##   name index index2 value   fix type
    ## 1   KA     1      1    25 FALSE  cv%
    ## 2   VC     2      2    25 FALSE  cv%
    ## 3   VP     3      3    25 FALSE  cv%
    ## 4    Q     4      4    25 FALSE  cv%
    ## 5   CL     5      5    25 FALSE  cv%
    ## SIGMA's:
    ##       name index index2 value   fix type
    ## 1 PROP_RUV     1      1   0.1 FALSE   sd
    ## No variance-covariance matrix
    ##
    ## Compartments:
    ## A_ABS (CMT=1)
    ## A_CENTRAL (CMT=2)
    ## A_PERIPHERAL (CMT=3)

To retrieve a parameter by its name, just call the method `find` as follows:

    model %>% find(Theta("CL"))

    ##   name index value min max   fix     label unit comment
    ## 1   CL     6     3  NA  NA FALSE Clearance  L/h    <NA>

    model %>% find(Omega("KA"))

    ##   name index index2 value min max   fix type same label comment
    ## 1   KA     1      1    25  NA  NA FALSE  cv%   NA  <NA>    <NA>

    model %>% find(Sigma("RUV_FIX"))

    ## NULL

These parameters can also alternatively be retrieved by their index(es). Use the specific method `getByIndex` created for that purpose:

    model@parameters %>% getByIndex(Theta(index=5))

    ##   name index value min max   fix                  label unit comment
    ## 1    Q     5    20  NA  NA FALSE Inter-compartment flow  L/h    <NA>

    model@parameters %>% getByIndex(Omega(index=1, index2=1))

    ##   name index index2 value min max   fix type same label comment
    ## 1   KA     1      1    25  NA  NA FALSE  cv%   NA  <NA>    <NA>

    model@parameters %>% getByIndex(Sigma(index=1, index2=1))

    ##       name index index2 value min max   fix type label comment
    ## 1 PROP_RUV     1      1   0.1  NA  NA FALSE   sd  <NA>    <NA>

### Access parameter values

Accessing parameter values is straightforward. Parameters have a slot `value` that may be accessed.

    thetaCL <- model %>% find(Theta("CL"))
    thetaCL@value

    ## [1] 3

For OMEGA and SIGMA parameters, be careful; the interpretation of this value depends on the `type` of the parameter. It may be `var` (for a variance), `covar` (for a covariance), `sd` (for standard deviation), `cv` (value expressed as coefficient of variation), `cv%` (value expressed as coefficient of variation in percentage).
For a quick access to the value as variance or covariance, the method `standardise` can be called first on the parameter itself. This is especially useful for values expressed in CV or in standard deviation.

    theta <- Omega(name="TEST", index=1, index2=1, value=15, type="cv%")
    theta@value # 15 is returned

    ## [1] 15

    theta_standardised <- theta %>% standardise() # Conversion to variance
    theta_standardised

    ##   name index index2      value min max   fix type same label comment
    ## 1 TEST     1      1 0.02225061  NA  NA FALSE  var   NA  <NA>    <NA>

    theta_standardised@value

    ## [1] 0.02225061

### Replace parameters

Parameters can be replaced easily. Here are a few examples:

    model <- model %>% replace(Theta("KA", value=2)) # Previous value for KA was 1
    model <- model %>% replace(Omega("CL", value=20, type="cv%")) # Previous value was a 25% CV
    model

    ## [MAIN]
    ## TVBIO=THETA_BIO
    ## TVKA=THETA_KA
    ## TVVC=THETA_VC
    ## TVVP=THETA_VP
    ## TVQ=THETA_Q
    ## TVCL=THETA_CL
    ##
    ## BIO=TVBIO
    ## KA=TVKA * exp(ETA_KA)
    ## VC=TVVC * exp(ETA_VC)
    ## VP=TVVP * exp(ETA_VP)
    ## Q=TVQ * exp(ETA_Q)
    ## CL=TVCL * exp(ETA_CL)
    ##
    ## [ODE]
    ## d/dt(A_ABS)=-KA*A_ABS
    ## d/dt(A_CENTRAL)=KA*A_ABS + Q/VP*A_PERIPHERAL - Q/VC*A_CENTRAL - CL/VC*A_CENTRAL
    ## d/dt(A_PERIPHERAL)=Q/VC*A_CENTRAL - Q/VP*A_PERIPHERAL
    ##
    ## [F]
    ## A_ABS=BIO
    ##
    ## [ERROR]
    ## CONC=A_CENTRAL/VC
    ## if (CONC <= 0.001) CONC=0.001
    ## CONC_ERR=CONC*(1 + EPS_PROP_RUV)
    ##
    ##
    ## THETA's:
    ##   name index value   fix                            label unit
    ## 1  BIO     1     1 FALSE                  Bioavailability <NA>
    ## 2   KA     2     2 FALSE                             <NA> <NA>
    ## 3   VC     3    10 FALSE    Volume of central compartment    L
    ## 4   VP     4    40 FALSE Volume of peripheral compartment    L
    ## 5    Q     5    20 FALSE           Inter-compartment flow  L/h
    ## 6   CL     6     3 FALSE                        Clearance  L/h
    ## OMEGA's:
    ##   name index index2 value   fix type
    ## 1   KA     1      1    25 FALSE  cv%
    ## 2   VC     2      2    25 FALSE  cv%
    ## 3   VP     3      3    25 FALSE  cv%
    ## 4    Q     4      4    25 FALSE  cv%
    ## 5   CL     5      5    20 FALSE  cv%
    ## SIGMA's:
    ##       name index index2 value   fix type
    ## 1 PROP_RUV     1      1   0.1 FALSE   sd
    ## No variance-covariance matrix
    ##
    ## Compartments:
    ## A_ABS (CMT=1)
    ## A_CENTRAL (CMT=2)
    ## A_PERIPHERAL (CMT=3)

### Delete parameters

Parameters can be deleted. Please note that it does not do anything to the equations. Also, the indexes won’t be re-adjusted. Here are a few examples:

    model <- model %>% delete(Theta("KA"))
    model <- model %>% delete(Omega("CL"))
    model

    ## [MAIN]
    ## TVBIO=THETA_BIO
    ## TVKA=THETA_KA
    ## TVVC=THETA_VC
    ## TVVP=THETA_VP
    ## TVQ=THETA_Q
    ## TVCL=THETA_CL
    ##
    ## BIO=TVBIO
    ## KA=TVKA * exp(ETA_KA)
    ## VC=TVVC * exp(ETA_VC)
    ## VP=TVVP * exp(ETA_VP)
    ## Q=TVQ * exp(ETA_Q)
    ## CL=TVCL * exp(ETA_CL)
    ##
    ## [ODE]
    ## d/dt(A_ABS)=-KA*A_ABS
    ## d/dt(A_CENTRAL)=KA*A_ABS + Q/VP*A_PERIPHERAL - Q/VC*A_CENTRAL - CL/VC*A_CENTRAL
    ## d/dt(A_PERIPHERAL)=Q/VC*A_CENTRAL - Q/VP*A_PERIPHERAL
    ##
    ## [F]
    ## A_ABS=BIO
    ##
    ## [ERROR]
    ## CONC=A_CENTRAL/VC
    ## if (CONC <= 0.001) CONC=0.001
    ## CONC_ERR=CONC*(1 + EPS_PROP_RUV)
    ##
    ##
    ## THETA's:
    ##   name index value   fix                            label unit
    ## 1  BIO     1     1 FALSE                  Bioavailability <NA>
    ## 2   VC     3    10 FALSE    Volume of central compartment    L
    ## 3   VP     4    40 FALSE Volume of peripheral compartment    L
    ## 4    Q     5    20 FALSE           Inter-compartment flow  L/h
    ## 5   CL     6     3 FALSE                        Clearance  L/h
    ## OMEGA's:
    ##   name index index2 value   fix type
    ## 1   KA     1      1    25 FALSE  cv%
    ## 2   VC     2      2    25 FALSE  cv%
    ## 3   VP     3      3    25 FALSE  cv%
    ## 4    Q     4      4    25 FALSE  cv%
    ## SIGMA's:
    ##       name index index2 value   fix type
    ## 1 PROP_RUV     1      1   0.1 FALSE   sd
    ## No variance-covariance matrix
    ##
    ## Compartments:
    ## A_ABS (CMT=1)
    ## A_CENTRAL (CMT=2)
    ## A_PERIPHERAL (CMT=3)

As expected, this model will not be valid anymore:

    tryCatch({validObject(model, complete=TRUE)}, error=function(msg) {
      print(msg)
    })

    ## <simpleError in validObject(model, complete = TRUE): objet de classe "campsis_model" incorrect: In slot "parameters" of class "parameters": No THETA with index 2>