pomp classpomp objects."coef"(object, pars, transform = FALSE, ...)
"coef"(object, pars, transform = FALSE, ...) <- value
"obs"(object, vars, ...)
"partrans"(object, params, dir = c("fromEstimationScale", "toEstimationScale","forward","inverse"), ...)
"plot"(x, y, variables, panel = lines, nc = NULL, yax.flip = FALSE, mar = c(0, 5.1, 0, if (yax.flip) 5.1 else 2.1), oma = c(6, 0, 5, 0), axes = TRUE, ...)
"print"(x, ...)
"show"(object)
"states"(object, vars, ...)
"time"(x, t0 = FALSE, ...)
"time"(object, t0 = FALSE, ...) <- value
"timezero"(object, ...)
"timezero"(object, ...) <- value
"window"(x, start, end, ...)
"as"(object, class)pomp object.dir="forward" applies the transformation from the natural scale to the internal scale.
    This is the transformation specified by the parameter.transform argument to pomp;
    it is stored in the par.trans slot of object.
    dir="inverse" applies the inverse transformation (stored in the par.untrans slot).
  time, the zero time is prepended to the time vector;
    if TRUE on a call to time<-, the first element in value is taken to be the initial time.
  object should be coerced.
  panel(x, col, bg, pch, type, ...) which gives the action to be carried out in each panel of the display.
  coef(object) returns the contents of the params slot of object.
      coef(object,pars) returns only those parameters named in pars.
      coef(object,transform=TRUE)returns
parameter.inv.transform(coef(object)),where
parameter.inv.transform is the user parameter inverse transformation function specified when object was created.
      Likewise, coef(object,pars,transform=TRUE)returns
parameter.inv.transform(coef(object))[pars].
params slot of the pomp object.
      coef(object) <- value has the effect of replacing the parameters of object with value.
      If coef(object) exists, then coef(object,pars) <- value replaces those parameters of object named in pars with the elements of value;
      the names of value are ignored.
      If some of the names in pars do not already name parameters in coef(object), then they are concatenated.
      If coef(object) does not exist, then coef(object,pars) <- value assigns value to the parameters of object;
      in this case, the names of object will be pars and the names of value will be ignored.
      coef(object,transform=TRUE) <- value assigns parameter.transform(value) to the params slot of object.
      Here, parameter.transform is the parameter transformation function specified when object was created.
      coef(object,pars,transform=TRUE) <- value first, discards any names the value may have, sets names(value) <- pars, and then replaces the elements of object's params slot parameter.transform(value).
      In this case, if some of the names in pars do not already name parameters in coef(object,transform=TRUE), then they are concatenated.
    
obs(object) returns the array of observations.
      obs(object,vars) gives just the observations of variables named in vars.
      vars may specify the variables by position or by name.
    
states(object) returns the array of states.
      states(object,vars) gives just the state variables named in vars.
      vars may specify the variables by position or by name.
    
time(object) returns the vector of observation times.
      time(object,t0=TRUE) returns the vector of observation times with the zero-time t0 prepended.
    
time(object) <- value replaces the observation times slot (times) of object with value.
      time(object,t0=TRUE) <- value has the same effect, but the first element in value is taken to be the initial time.
      The second and subsequent elements of value are taken to be the observation times.
      Those data and states (if they exist) corresponding to the new times are retained.
    
timezero(object) returns the zero-time t0.
      timezero(object) <- value sets the zero-time to value.
    
window(x,start=t1,end=t2 returns a new pomp object, identical to x but with only the data in the window between times t1 and t2 (inclusive).
      By default, start is the time of the first observation and end is the time of the last.
    
pomp object.
pomp object in a nice way.
pomp object can be coerced to a data frame via as(object,"data.frame").The data frame contains the times, the data, and the state trajectories, if they exist.
pomp,
  pomp low-level interface,
  simulate,
  pfilter, probe.