Description Usage Arguments Value Examples
wop
calculates the contribution or weight of partitions
for the pooled solution parameters of consistency and coverage
for the conservative or parsimonious solution.
1 |
dataset |
Calibrated pooled dataset for partitioning and minimization of pooled solution. |
units |
Units that define the within-dimension of data (time series). |
time |
Periods that define the between-dimension of data (cross sections). |
cond |
Conditions used for the pooled analysis. |
out |
Outcome used for the pooled analysis. |
n_cut |
Frequency cut-off for designating truth table rows as observed in the pooled analysis. |
incl_cut |
Inclusion cut-off for designating truth table rows as consistent in the pooled analysis. |
solution |
A character specifying the type of solution that should
be derived. |
amb_selector |
Numerical value for selecting a single model in the
presence of model ambiguity. Models are numbered according to their
order produced by |
A dataframe with information about the weight of the partitions with the following columns:
type
: The type of the partition. between
stands for
cross-sections; within
stands for time series. pooled
stands
information about the pooled data.
partition
: Type of partition. For
between-dimension, the unit identifiers are listed (argument units
).
For the within-dimension, the time identifiers are listed (argument time
).
The entry is -
for the pooled data.
denom_cons
: Denominator of the consistency formula. It is the sum
over the cases' membership in the solution.
num_cons
: Numerator of the consistency formula. It is the sum
over the minimum of the cases' membership in the solution and the outcome.
denom_cov
: Denominator of the coverage formula. It is the sum
over the cases' membership in the outcome.
num_cov
: Numerator of the coverage formula. It is the sum
over the minimum of the cases' membership in the solution and the outcome.
(identical to num_cons
)
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