sequentialDVI {dvir} | R Documentation |
Sequential DVI search
Description
Performs a sequential matching procedure based on the pairwise LR matrix. In
each step the pairing corresponding to the highest LR is selected and
included as a match if the LR exceeds the given threshold. By default,
(updateLR = TRUE
) the pairwise LRs are recomputed in each step after
including the data from the identified sample.
Usage
sequentialDVI(
dvi,
updateLR = TRUE,
threshold = 1,
check = TRUE,
verbose = TRUE,
debug = FALSE
)
Arguments
dvi |
A |
updateLR |
A logical. If TRUE, the LR matrix is updated in each iteration. |
threshold |
A non-negative number. If no pairwise LR values exceed this, the iteration stops. |
check |
A logical, indicating if the input data should be checked for consistency. |
verbose |
A logical, by default TRUE. |
debug |
A logical, by default FALSE. If TRUE, the LR matrix is printed in each step. |
Details
If, at any point, the highest LR is obtained by more than one pairing, the process branches off and produces multiple solutions. (See Value.)
Value
A list with two elements:
-
matches
: A single assignment vector, or (if multiple branches) a data frame where each row is an assignment vector. -
details
: A data frame (or a list of data frames, if multiple branches) including the LR of each identification in the order they were made.
Examples
# Without LR updates
sequentialDVI(example1, updateLR = FALSE)
# With LR updates (default). Note two branches!
r = sequentialDVI(example1)
# Plot the two solutions
plotSolution(example1, r$matches, k = 1)
plotSolution(example1, r$matches, k = 2)
# Add `debug = T` to see the LR matrix in each step
sequentialDVI(example1, debug = TRUE)
# The output of can be fed into `jointDVI()`:
jointDVI(example1, assignments = r$matches)