bayestransmission (version 0.1.0)

LogNormalAcquisitionParams: Log-Normal Acquisition Parameters

Description

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.

Usage

LogNormalAcquisitionParams(
  time = Param(0, 0),
  constant = Param(0.001, 1),
  log_tot_inpat = Param(-1, 0),
  log_col = Param(1, 0),
  col = Param(0, 0),
  abx_col = Param(0, 0),
  onabx = Param(0, 0),
  everabx = Param(0, 0)
)

Value

An unnamed list of 8 parameters in the correct order for LogNormalAbxICP.

Arguments

time

Time parameter (index 0)

constant

Constant parameter (index 1)

log_tot_inpat

Log total in-patients parameter (index 2)

log_col

Log number colonized parameter (index 3)

col

Number colonized parameter (index 4)

abx_col

Number abx colonized parameter (index 5)

onabx

Susceptible patient on Abx effect (index 6)

everabx

Susceptible patient ever on Abx effect (index 7)

Examples

LogNormalAcquisitionParams()