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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
#
# http://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 Log-Logistic Distribution
#' @export
#' @examples
#'
#' ssd_pllogis(1)
ssd_pllogis <- function(q, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE) {
pdist("logis", q = q, location = locationlog, scale = scalelog,
lower.tail = lower.tail, log.p = log.p, .lgt = TRUE)
}
#' @describeIn ssd_q Cumulative Distribution Function for Log-Logistic Distribution
#' @export
#' @examples
#'
#' ssd_qllogis(0.5)
ssd_qllogis <- function(p, locationlog = 0, scalelog = 1, lower.tail = TRUE, log.p = FALSE) {
qdist("logis", p = p, location = locationlog, scale = scalelog,
lower.tail = lower.tail, log.p = log.p, .lgt = TRUE)
}
#' @describeIn ssd_r Random Generation for Log-Logistic Distribution
#' @export
#' @examples
#'
#' set.seed(50)
#' hist(ssd_rllogis(10000), breaks = 1000)
ssd_rllogis <- function(n, locationlog = 0, scalelog = 1, chk = TRUE) {
rdist("logis", n = n, location = locationlog, scale = scalelog, .lgt = TRUE, chk = chk)
}
sllogis <- function(data, pars = NULL) {
if(!is.null(pars)) return(pars)
x <- mean_weighted_values(data)
list(
locationlog = mean(log(x), na.rm = TRUE),
log_scalelog = log(pi * sd(log(x), na.rm = TRUE) / sqrt(3))
)
}
plogis_ssd <- function(q, location, scale) {
if(scale <= 0) return(NaN)
stats::plogis(q, location, scale)
}
qlogis_ssd <- function(p, location, scale) {
if(scale <= 0) return(NaN)
stats::qlogis(p, location, scale)
}
rlogis_ssd <- function(n, location, scale) {
if(scale <= 0) return(rep(NaN, n))
stats::rlogis(n, location, scale)
}
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