Description Usage Arguments Details Value References See Also Examples
Estimate conditional probability of some events based on data obtained by imprecise imputation
1  impestcond(data, event, condition, constraints = NULL)

data 
a data.frame obtained as result from an
imprecise imputation e.g. by a call to

event 
a list of objects of class 
condition 
a list of objects of class 
constraints 
a list of socalled logical constraints or
fixed zeros. Each element must be an object of class

event
and condition
should each be a list of objects
of class "impmp_event"
, where within each list the set union
of impimp_events is the actual event of interest or conditioning
event, respectively.
By specifying constraints
one can exlude combinations of
imputed values which are deemed impossible, so called
‘logical constraints’ or ‘fixed zeros’.
constraints
should be a list of objects of class
"impimp_event"
.
An object of class "impimp_event"
is obtained as a result
of a call to impimp_event
.
For event
, condition
and constraints
holds
that overlapping in the resulting events generated by the
individual impimp_events does not have any side effects, besides
a potential decrease in performance.
A numeric vector of length 2, where the first component contains the lower and the second component the upper conditional probability of the event of interest.
Dubois, D. and Prade, H. (1992), Evidence, knowledge, and belief functions, International Journal of Approximate Reasoning 6(3), 295–319.
impimp
, impimp_event
for
sepcifying constraints and events; impest
for
the estimation of unconditional probabilities
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17  A < data.frame(x1 = c(1,0), x2 = c(0,0),
y1 = c(1,0), y2 = c(2,2))
B < data.frame(x1 = c(1,1,0), x2 = c(0,0,0),
z1 = c(0,1,1), z2 = c(0,1,2))
AimpB < impimp(A, B, method = "domain")
BimpA < impimp(B, A, method = "domain")
AB < rbindimpimp(AimpB, BimpA)
myevent < list(impimp_event(z1 = 1,z2 = 0),
impimp_event(z1 = c(0,1), z2 = 1))
cond < list(impimp_event(x1 = 1))
impestcond(AB, event = myevent, condition = cond)
constr < list(impimp_event(y1 = 0, z1 = 0))
impestcond(AB, event = myevent, condition = cond,
constraints = constr)

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