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## Normalising constant of the Kent distribution
kent.logcon <- function(k, b, j = 100) {
j <- 0:j
ka <- 2 * pi * gamma(j + 0.5) / gamma(j + 1)* b^( 2 * j ) * ( k / 2 )^( -2 * j - 0.5 ) * besselI(k, 2 * j + 0.5)
log( sum(ka) )
}
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