dloglin.RdModelled assuming relative effects ("rel")
dloglin()An object of class("dosefun")
\(rate\times{log(x + 1)}\)
Dose-response parameter arguments:
| Argument | Model specification |
"rel" | Implies that relative effects should be pooled for this dose-response parameter separately for each agent in the network. |
"common" | Implies that all agents share the same common effect for this dose-response parameter. |
"random" | Implies that all agents share a similar (exchangeable) effect for this dose-response parameter. This approach allows for modelling of variability between agents. |
numeric() | Assigned a numeric value, indicating that this dose-response parameter should not be estimated from the data but should be assigned the numeric value determined by the user. This can be useful for fixing specific dose-response parameters (e.g. Hill parameters in Emax functions) to a single value. |
There are no references for Rd macro \insertAllCites on this help page.
dloglin()
#> $name
#> [1] "loglin"
#>
#> $fun
#> ~rate * log(dose + 1)
#> <environment: 0x55e26b78e280>
#>
#> $params
#> [1] "rate"
#>
#> $nparam
#> [1] 1
#>
#> $jags
#> [1] "s.beta.1[agent[i,k]] * log(dose[i,k] + 1)"
#>
#> $apool
#> rate
#> "rel"
#>
#> $bname
#> rate
#> "beta.1"
#>
#> attr(,"class")
#> [1] "dosefun"