Added functional learn_simple_partition
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man/calculatePopLogml.Rd
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man/calculatePopLogml.Rd
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/calculatePopLogml.R
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\name{calculatePopLogml}
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\alias{calculatePopLogml}
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\title{Calculate log marginal likelihood}
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\usage{
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calculatePopLogml(points, fii)
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}
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\arguments{
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\item{points}{points}
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\item{fii}{fii}
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}
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\description{
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Calculates fuzzy (log) marginal likelihood for a population of
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real values using estimate "fii" for the dispersion value, and Jeffreys prior
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for the mean parameter.
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}
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man/learn_simple_partition.Rd
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man/learn_simple_partition.Rd
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/admix1-learn_simple_partition.R
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\name{learn_simple_partition}
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\alias{learn_simple_partition}
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\title{Learn simple partition}
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\usage{
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learn_simple_partition(ordered_points, fii)
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}
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\arguments{
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\item{ordered_points}{ordered_points}
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\item{fii}{fii}
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}
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\description{
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Goes through all the ways to divide the points into two or
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three groups. Chooses the partition which obtains highest logml.
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}
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