Acquisition parameters for the log-normal model (LogNormalAbxICP). This model has 8 acquisition parameters accessed by index in C++. Note: When accessed via setupLogNormalICPAcquisition, parameters are set by index, so this returns an unnamed list where position matters.
Arguments
- time
Time parameter (index 0) (\(\beta_t\))
- constant
Constant parameter (index 1) (\(\beta_0\))
- log_tot_inpat
Log total in-patients parameter (index 2)
- log_col
Log number colonized parameter (index 3) (\(\beta_c\))
- col
Number colonized parameter (index 4)
- abx_col
Number of colonized individuals on antibiotics parameter (index 5) (\(\beta_{\bullet℞}\))
- onabx
Susceptible patient currently on antibiotics effect (index 6) (\(\beta_{\circ℞}\))
- everabx
Susceptible patient ever on antibiotics effect (index 7) (\(\beta_{\circ^*℞}\))
Examples
LogNormalAcquisitionParams()
#> [[1]]
#> $init
#> [1] 0
#>
#> $update
#> [1] FALSE
#>
#> $prior
#> [1] 0
#>
#> $weight
#> [1] 0
#>
#> attr(,"class")
#> [1] "Param"
#>
#> [[2]]
#> $init
#> [1] 0.001
#>
#> $update
#> [1] TRUE
#>
#> $prior
#> [1] 0.001
#>
#> $weight
#> [1] 1
#>
#> attr(,"class")
#> [1] "Param"
#>
#> [[3]]
#> $init
#> [1] -1
#>
#> $update
#> [1] FALSE
#>
#> $prior
#> [1] -1
#>
#> $weight
#> [1] 0
#>
#> attr(,"class")
#> [1] "Param"
#>
#> [[4]]
#> $init
#> [1] 1
#>
#> $update
#> [1] FALSE
#>
#> $prior
#> [1] 1
#>
#> $weight
#> [1] 0
#>
#> attr(,"class")
#> [1] "Param"
#>
#> [[5]]
#> $init
#> [1] 0
#>
#> $update
#> [1] FALSE
#>
#> $prior
#> [1] 0
#>
#> $weight
#> [1] 0
#>
#> attr(,"class")
#> [1] "Param"
#>
#> [[6]]
#> $init
#> [1] 0
#>
#> $update
#> [1] FALSE
#>
#> $prior
#> [1] 0
#>
#> $weight
#> [1] 0
#>
#> attr(,"class")
#> [1] "Param"
#>
#> [[7]]
#> $init
#> [1] 0
#>
#> $update
#> [1] FALSE
#>
#> $prior
#> [1] 0
#>
#> $weight
#> [1] 0
#>
#> attr(,"class")
#> [1] "Param"
#>
#> [[8]]
#> $init
#> [1] 0
#>
#> $update
#> [1] FALSE
#>
#> $prior
#> [1] 0
#>
#> $weight
#> [1] 0
#>
#> attr(,"class")
#> [1] "Param"
#>