chorussell.lp.fn.unbd | R Documentation |
chorussell
procedure when one of the sample
estimates of the bounds is infiniteThis function finds the candidate bounds that satisfy
the constraints in the chorussell
procedure when
one of the sample estimates of the bounds is infinite. If the upper bound
is infinite, then the third column of the data frame will store the
negative of the lower bound so the largest candidate for the lower bound
will be chosen in order to minimize the interval length. Similarly, if the
lower bound is infinite, then the third column of the data frame will
store the upper bound.
chorussell.lp.fn.unbd(
x,
lb.can1,
lb.can2,
ub.can1,
ub.can2,
lb.can,
ub.can,
lb,
ub,
alpha,
pbar,
ci,
k,
progress
)
x |
A candidate lower bound. |
lb.can1 |
The vector of values that corresponds to
|
lb.can2 |
The vector of values that corresponds to
|
ub.can1 |
The vector of values that corresponds to
|
ub.can2 |
The vector of values that corresponds to
|
lb.can |
All candidates of the lower bounds. |
ub.can |
All candidates of the upper bounds. |
lb |
The sample lower bound. |
ub |
The sample upper bound. |
alpha |
The significance level. This can be a vector. |
pbar |
The progress bar object. |
ci |
A boolean variable that indicates whether a |
k |
Iteration number. |
progress |
The boolean variable for whether the progress bars should
be displayed. If it is set as |
Returns a data frame.
df |
A data frame that contains the pairs of feasible lower bounds and upper bounds, as well as their sum. |
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