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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Pois Distribution ----
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
## ~~~~~~~~~~~~~~~~~~~~~~~~~~~
## Distribution ----
## ~~~~~~~~~~~~~~~~~~~~~~~~~~~
setClass("Pois",
contains = "Distribution",
slots = c(lambda = "numeric"),
prototype = list(lambda = 1))
#' @title Poisson Distribution
#' @name Pois
#'
#' @param x an object of class `Pois`. If the function also has a `distr`
#' argument, `x` is a numeric vector, a sample of observations.
#' @param distr an object of class `Pois`.
#' @param lambda numeric. The distribution parameters.
#' @param prm numeric. A vector including the distribution parameters.
#'
#' @inherit Distributions return
#'
#' @export
Pois <- function(lambda = 1) {
new("Pois", lambda = lambda)
}
setValidity("Pois", function(object) {
if(length(object@lambda) != 1) {
stop("lambda has to be a numeric of length 1")
}
if(object@lambda <= 0) {
stop("lambda has to be positive")
}
TRUE
})
## ~~~~~~~~~~~~~~~~~~~~~~~~~~~
## d, p, q, r ----
## ~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' @rdname Pois
setMethod("d", signature = c(x = "Pois"),
function(x) {
function(y, log = FALSE) {
dpois(y, lambda = x@lambda, log = log)
}
})
#' @rdname Pois
setMethod("p", signature = c(x = "Pois"),
function(x) {
function(q, lower.tail = TRUE, log.p = FALSE) {
ppois(q, lambda = x@lambda,
lower.tail = lower.tail, log.p = log.p)
}
})
#' @rdname Pois
setMethod("qn", signature = c(x = "Pois"),
function(x) {
function(p, lower.tail = TRUE, log.p = FALSE) {
qpois(p, lambda = x@lambda,
lower.tail = lower.tail, log.p = log.p)
}
})
#' @rdname Pois
setMethod("r", signature = c(x = "Pois"),
function(x) {
function(n) {
rpois(n, lambda = x@lambda)
}
})
## ~~~~~~~~~~~~~~~~~~~~~~~~~~~
## Moments ----
## ~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' @rdname Pois
setMethod("mean",
signature = c(x = "Pois"),
definition = function(x) {
x@lambda
})
#' @rdname Pois
setMethod("var",
signature = c(x = "Pois"),
definition = function(x) {
x@lambda
})
#' @rdname Pois
setMethod("sd",
signature = c(x = "Pois"),
definition = function(x) {
sqrt(var(x))
})
#' @rdname Pois
setMethod("skew",
signature = c(x = "Pois"),
definition = function(x) {
1 / sqrt(x@lambda)
})
#' @rdname Pois
setMethod("kurt",
signature = c(x = "Pois"),
definition = function(x) {
1 / x@lambda
})
#' @rdname Pois
setMethod("finf",
signature = c(x = "Pois"),
definition = function(x) {
1 / x@lambda
})
## ~~~~~~~~~~~~~~~~~~~~~~~~~~~
## Likelihood ----
## ~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' @rdname ll
#' @export
llpois <- function(x, lambda) {
ll(x, prm = lambda, distr = Pois())
}
#' @rdname Pois
setMethod("ll",
signature = c(x = "numeric", prm = "numeric", distr = "Pois"),
definition = function(x, prm, distr) {
log(prm) * sum(x) - length(x) * prm - sum(log(factorial(x)))
})
## ~~~~~~~~~~~~~~~~~~~~~~~~~~~
## Estimation ----
## ~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' @rdname estim
#' @export
epois <- function(x, type = "mle", ...) {
estim(x, Pois(), type, ...)
}
#' @rdname Pois
setMethod("mle",
signature = c(x = "numeric", distr = "Pois"),
definition = function(x, distr) {
c(lambda = mean(x))
})
#' @rdname Pois
setMethod("me",
signature = c(x = "numeric", distr = "Pois"),
definition = function(x, distr) {
mle(x, distr)
})
## ~~~~~~~~~~~~~~~~~~~~~~~~~~~
## Avar ----
## ~~~~~~~~~~~~~~~~~~~~~~~~~~~
#' @rdname avar
#' @export
vpois <- function(lambda, type = "mle") {
avar(Pois(lambda = lambda), type = type)
}
#' @rdname Pois
setMethod("avar_mle",
signature = c(distr = "Pois"),
definition = function(distr) {
c(lambda = distr@lambda)
})
#' @rdname Pois
setMethod("avar_me",
signature = c(distr = "Pois"),
definition = function(distr) {
avar_mle(distr)
})
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