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# Copyright 2021 Province of British Columbia
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#' @describeIn ssd_p Cumulative Distribution Function for Gamma Distribution
#' @export
#' @examples
#'
#' ssd_pgamma(1)
ssd_pgamma <- function(q, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE) {
pdist("gamma", q = q, shape = shape, scale = scale,
lower.tail = lower.tail, log.p = log.p)
}
#' @describeIn ssd_q Quantile Function for Gamma Distribution
#' @export
#' @examples
#'
#' ssd_qgamma(0.5)
ssd_qgamma <- function(p, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE) {
qdist("gamma", p = p, shape = shape, scale = scale,
lower.tail = lower.tail, log.p = log.p)
}
#' @describeIn ssd_r Random Generation for Gamma Distribution
#' @export
#' @examples
#'
#' set.seed(50)
#' hist(ssd_rgamma(10000), breaks = 1000)
ssd_rgamma <- function(n, shape = 1, scale = 1, chk = TRUE) {
rdist("gamma", n = n, shape = shape, scale = scale, chk = chk)
}
sgamma <- function(data, pars = NULL) {
if(!is.null(pars)) return(pars)
x <- mean_weighted_values(data)
var <- var(x, na.rm = TRUE)
mean <- mean(x, na.rm = TRUE)
list(
log_scale = log(var / mean),
log_shape = log(mean^2 / var)
)
}
pgamma_ssd <- function(q, shape, scale) {
if(shape <= 0 || scale <= 0) return(NaN)
stats::pgamma(q, shape = shape, scale = scale)
}
qgamma_ssd <- function(p, shape, scale) {
if(shape <= 0 || scale <= 0) return(NaN)
stats::qgamma(p, shape = shape, scale = scale)
}
rgamma_ssd <- function(n, shape, scale) {
if(shape <= 0 || scale <= 0) return(rep(NaN, n))
stats::rgamma(n, shape = shape, scale = scale)
}
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