Finds, if it exists, a gap or hiatus between two successive groups. This gap or hiatus is the longest interval that satisfies P(Phase1Max < IntervalInf < IntervalSup < Phase2Min | M) = level
MultiPhasesGap( data, position_minimum, position_maximum = position_minimum + 1, level = 0.95 )
Data frame containing the output of the MCMC algorithm.
Numeric vector containing the column number corresponding to the minimum of the events included in each group.
Numeric vector containing the column number
corresponding to the end of the phases set in the same order
Probability corresponding to the level of confidence.
MultiPhasesGap() computes the gap interval
for the phase defined by its minimum
position_maximum[i]. The default value of
position_maximum corresponds to CSV files exported from
Returns a matrix of values containing the level of confidence and the endpoints of the gap for each pair of successive groups. The result is given in calendar years (BC/AD).
Anne Philippe, Anne.Philippe@univ-nantes.fr and
Marie-Anne Vibet, Marie-Anne.Vibet@univ-nantes.fr
# Data extracted from ChronoModel software data(Phases) # List of the name of the groups names(Phases) # Stipulating position_maximum MultiPhasesGap(Phases, position_minimum = c(4, 2), position_maximum = c(5, 3)) # In this case, equivalent to MultiPhasesGap(Phases, position_minimum = c(4, 2))
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