singleNone: Single-host pathogen in a homogeneous host population
In nosoi: A Forward Agent-Based Transmission Chain Simulator

Description Usage Arguments Details Value Order of Arguments See Also Examples

This function, that can be wrapped within nosoiSim, runs a single-host transmission chain simulation, without any structure features in the host population. The simulation stops either at the end of given time (specified by length.sim) or when the number of hosts infected threshold (max.infected) is crossed.

singleNone(
  length.sim,
  max.infected,
  init.individuals,
  pExit,
  param.pExit,
  timeDep.pExit = FALSE,
  nContact,
  param.nContact,
  timeDep.nContact = FALSE,
  pTrans,
  param.pTrans,
  timeDep.pTrans = FALSE,
  prefix.host = "H",
  print.progress = TRUE,
  print.step = 10
)

`length.sim`	specifies the length (in unit of time) over which the simulation should be run.
`max.infected`	specifies the maximum number of hosts that can be infected in the simulation.
`init.individuals`	number of initially infected individuals.
`pExit`	function that gives the probability to exit the simulation for an infected host (either moving out, dying, etc.).
`param.pExit`	parameter names (list of functions) for the pExit.
`timeDep.pExit`	is pExit dependent on the absolute time of the simulation? (TRUE/FALSE)
`nContact`	function that gives the number of potential transmission events per unit of time.
`param.nContact`	parameter names (list of functions) for param.nContact.
`timeDep.nContact`	is nContact dependent on the absolute time of the simulation? (TRUE/FALSE)
`pTrans`	function that gives the probability of transmit a pathogen as a function of time since infection.
`param.pTrans`	parameter names (list of functions) for the pExit.
`timeDep.pTrans`	is pTrans dependent on the absolute time of the simulation? (TRUE/FALSE)
`prefix.host`	character(s) to be used as a prefix for the hosts identification number.
`print.progress`	if TRUE, displays a progress bar (current time/length.sim).
`print.step`	print.progress is TRUE, step with which the progress message will be printed.

The pExit and pTrans functions should return a single probability (a number between 0 and 1), and nContact a positive natural number (positive integer) or 0.

The param arguments should be a list of functions or NA. Each item name in the parameter list should have the same name as the argument in the corresponding function.

The use of timeDep (switch to TRUE) makes the corresponding function use the argument prestime (for "present time").

An object of class nosoiSim, containing all results of the simulation.

The user specified function's arguments should follow this order: t (mandatory), prestime (optional, only if timeDep is TRUE), parameters specified in the list.

For simulations with a discrete structured host population, see singleDiscrete. For simulations with a structured population in continuous space, singleContinuous

t_incub_fct <- function(x){rnorm(x,mean = 5,sd=1)}
p_max_fct <- function(x){rbeta(x,shape1 = 5,shape2=2)}
p_Exit_fct  <- function(t){return(0.08)}

proba <- function(t,p_max,t_incub){
 if(t <= t_incub){p=0}
 if(t >= t_incub){p=p_max}
 return(p)
}

time_contact <- function(t){round(rnorm(1, 3, 1), 0)}

test.nosoi <- nosoiSim(type="single", popStructure="none",
                      length=40,
                      max.infected=100,
                      init.individuals=1,
                      nContact=time_contact,
                      param.nContact=NA,
                      pTrans = proba,
                      param.pTrans = list(p_max=p_max_fct,
                                          t_incub=t_incub_fct),
                      pExit=p_Exit_fct,
                      param.pExit=NA)

test.nosoi