Usage
addFeature(dm, type, parameter = NA, lower.range = NA, upper.range = NA,
fixed.value = NA, par.new = T, pop.source = NA, pop.sink = NA,
time.point = NA, group = 0, variance = 0, zero.inflation = 0)
Arguments
dm
The demographic model to which the feature will be added
type
The type of the feature coded as a character
parameter
Either the name of the parameter (par.new=TRUE), or an R expression
possibly containing one or more previously created parameter
names.
lower.range
The lower boundary for the value of the parameter
upper.range
The upper boundary for the value of the parameter
fixed.value
If given, the parameter will be set to a fixed value. This
is equivalent to seting lower.range equal to upper.range.
par.new
If 'TRUE' a new parameter will be created using the
arguments 'lower.range' and 'upper.range' or
'fixed.value'. It will be named 'parameter'.
If 'FALSE' the argument 'parameter'
will be evaluated instead.
pop.source
The source population if availible (think e.g. of migration)
pop.sink
The target or "sink" population if availible (think e.g. of migration)
time.point
Normally the point in backwards time where the feature
starts.
group
For genomic features, different groups can be created.
variance
Set to a value different from 0 to introduce variation in the
the parameter value for different loci. The
variation follows a gamma distribution with mean equal to
the value provided as parameter, and variance as given
here. Can also be set t
zero.inflation
If used, a zero inflated gamma distribution is
used to model the variablility between loci. This parameter
should evluate to the percent of loci for which the parameter
is 0. The values for all other loci will be drawn from the
discretized gamma distribut