Outputs a docx summary of the data inputs, to assist the user in choosing parameter inputs for a full evaluation
● Data Source:
CranContrib
● Keywords:
● Alias: allele.report
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In practice, this function undoes the flattening needed to run DEoptim. Hence, it should take the same parameters that optimisation.params.peaks does. Takes a linear vector of parameters, as passed to and returned from an optimisation method, and makes it a list. Transforms degradation parameters back into normal (non-logarithmic) form. Adds fixed arguments back into the list.
● Data Source:
CranContrib
● Keywords:
● Alias: relistArguments.peaks
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Objective functions giving the likelihoods computed by likeLTD. These functions do not exist per se. They are created by create.likelihood and similar function.
● Data Source:
CranContrib
● Keywords:
● Alias: objective.function
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Reads the Crime Scene Profile from a CSV file of peak height data.
● Data Source:
CranContrib
● Keywords:
● Alias: read.peaks.profile
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Helper function to create the input for the defence.
● Data Source:
CranContrib
● Keywords:
● Alias: defence.hypothesis
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evaluate
(Package: likeLTD) :
likeLTD::evaluate
Optimize both prosecution and defence likelihoods, returning the weight of evidence.
● Data Source:
CranContrib
● Keywords:
● Alias: evaluate
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DNA17-db
(Package: likeLTD) :
NGMSelect allele database
A table with allele frequencies for NGMSelect loci. Populations are "NDU1" (Caucasian), "NDU2" (African + Afro-Caribbean), "NDU3" (South Asian), "NDU4" (East Asian), "NDU6" (African), "NDU7" (Afro-Caribbean).
● Data Source:
CranContrib
● Keywords: dataset
● Alias: DNA17-db
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Optimize both prosecution and defence likelihoods, returning the weight of evidence.
● Data Source:
CranContrib
● Keywords:
● Alias: evaluate.from.interim
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Helper function to create the input for the defence using peak height data.
● Data Source:
CranContrib
● Keywords:
● Alias: defence.hypothesis.peaks
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Vector with individual locus likelihoods for peak height data.
● Data Source:
CranContrib
● Keywords:
● Alias: locus.likes.peaks
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