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## Each distlist function must return 2 valid distribution (pdf) functions,
## each taking a vector of quantiles and 2 parameters.
## Distribution functions taking >2 parameters can be used,
## but can only be optimized over 2 (positional) parameters;
## The remaining params should be encapsulated within the function calls.
## mix.distlist.facing.gamma provides a good example for users to extend
mix.distlist.norm <- function() {
## construct a list containing 2 normal pdf functions
## for mk.mle's distlist arg
distlist <- list( dist1 = dnorm, dist2 = dnorm )
return(distlist)
}
mix.distlist.facing.gamma <- function(lower, upper) {
## construct a list containing 2 facing gamma pdf functions
## requires lower and upper bound of data
## for mk.mle's distlist arg
## NOTE: shape and scale are passed by position:
## shape is par1, scale is par2
distlist <- list()
## forward
distlist$dist1 <- function(x, .shape, .scale) {
dgamma(x-lower, shape=.shape, scale=.scale)
}
## reverse
distlist$dist2 <- function(x, .shape, .scale) {
dgamma(upper-x, shape=.shape, scale=.scale)
}
return(distlist)
}
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