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#' Distribution Function of a Bivariate Copula
#'
#' This function evaluates the cumulative distribution function (CDF) of a
#' given parametric bivariate copula.
#'
#' If the family and parameter specification is stored in a [BiCop()]
#' object `obj`, the alternative version \cr
#' \preformatted{BiCopCDF(u1, u2, obj)}
#' can be used.
#'
#' @param u1,u2 numeric vectors of equal length with values in \eqn{[0,1]}.
#' @param family integer; single number or vector of size `length(u1)`;
#' defines the bivariate copula family: \cr
#' `0` = independence copula \cr
#' `1` = Gaussian copula \cr
#' `2` = Student t copula (t-copula) \cr
#' `3` = Clayton copula \cr
#' `4` = Gumbel copula \cr
#' `5` = Frank copula \cr
#' `6` = Joe copula \cr
#' `7` = BB1 copula \cr
#' `8` = BB6 copula \cr
#' `9` = BB7 copula \cr
#' `10` = BB8 copula \cr
#' `13` = rotated Clayton copula (180 degrees; ``survival Clayton'') \cr
#' `14` = rotated Gumbel copula (180 degrees; ``survival Gumbel'') \cr
#' `16` = rotated Joe copula (180 degrees; ``survival Joe'') \cr
#' `17` = rotated BB1 copula (180 degrees; ``survival BB1'')\cr
#' `18` = rotated BB6 copula (180 degrees; ``survival BB6'')\cr
#' `19` = rotated BB7 copula (180 degrees; ``survival BB7'')\cr
#' `20` = rotated BB8 copula (180 degrees; ``survival BB8'')\cr
#' `23` = rotated Clayton copula (90 degrees) \cr
#' `24` = rotated Gumbel copula (90 degrees) \cr
#' `26` = rotated Joe copula (90 degrees) \cr
#' `27` = rotated BB1 copula (90 degrees) \cr
#' `28` = rotated BB6 copula (90 degrees) \cr
#' `29` = rotated BB7 copula (90 degrees) \cr
#' `30` = rotated BB8 copula (90 degrees) \cr
#' `33` = rotated Clayton copula (270 degrees) \cr
#' `34` = rotated Gumbel copula (270 degrees) \cr
#' `36` = rotated Joe copula (270 degrees) \cr
#' `37` = rotated BB1 copula (270 degrees) \cr
#' `38` = rotated BB6 copula (270 degrees) \cr
#' `39` = rotated BB7 copula (270 degrees) \cr
#' `40` = rotated BB8 copula (270 degrees) \cr
#' `104` = Tawn type 1 copula \cr
#' `114` = rotated Tawn type 1 copula (180 degrees) \cr
#' `124` = rotated Tawn type 1 copula (90 degrees) \cr
#' `134` = rotated Tawn type 1 copula (270 degrees) \cr
#' `204` = Tawn type 2 copula \cr
#' `214` = rotated Tawn type 2 copula (180 degrees) \cr
#' `224` = rotated Tawn type 2 copula (90 degrees) \cr
#' `234` = rotated Tawn type 2 copula (270 degrees) \cr
#' @param par numeric; single number or vector of size `length(u1)`;
#' copula parameter.
#' @param par2 numeric; single number or vector of size `length(u1)`;
#' second parameter for bivariate copulas with two parameters (BB1, BB6, BB7,
#' BB8, Tawn type 1 and type 2; default: `par2 = 0`).
#' @param obj `BiCop` object containing the family and parameter
#' specification.
#' @param check.pars logical; default is `TRUE`; if `FALSE`, checks
#' for family/parameter-consistency are omitted (should only be used with
#' care).
#'
#' @return A numeric vector of the bivariate copula distribution function
#' \itemize{
#' \item of the copula `family`
#' \item with parameter(s) `par`, `par2`
#' \item evaluated at `u1` and `u2`.
#' }
#'
#' @note The calculation of the cumulative distribution function (CDF) of the
#' Student's t copula (`family = 2`) is only approximate. For numerical
#' reasons, the degree of freedom parameter (`par2`) is rounded to an
#' integer before calculation of the CDF.
#'
#' @author Eike Brechmann
#'
#' @seealso
#' [BiCopPDF()],
#' [BiCopHfunc()],
#' [BiCopSim()],
#' [BiCop()]
#'
#' @examples
#' ## simulate from a bivariate Clayton copula
#' set.seed(123)
#' cop <- BiCop(family = 3, par = 3.4)
#' simdata <- BiCopSim(300, cop)
#'
#' ## evaluate the distribution function of the bivariate Clayton copula
#' u1 <- simdata[,1]
#' u2 <- simdata[,2]
#' BiCopCDF(u1, u2, cop)
#'
#' ## select a bivariate copula for the simulated data
#' cop <- BiCopSelect(u1, u2)
#' summary(cop)
#' ## and evaluate its CDF
#' BiCopCDF(u1, u2, cop)
#'
BiCopCDF <- function(u1, u2, family, par, par2 = 0, obj = NULL, check.pars = TRUE) {
## preprocessing of arguments
args <- preproc(c(as.list(environment()), call = match.call()),
check_u,
fix_nas,
check_if_01,
extract_from_BiCop,
match_spec_lengths,
check_fam_par)
list2env(args, environment())
## calculate CDF
if (length(par) == 1) {
out <- calcCDF(u1, u2, family, par, par2)
} else {
out <- vapply(1:length(par),
function(i) calcCDF(u1[i],
u2[i],
family[i],
par[i],
par2[i]),
numeric(1))
}
# reset NAs
out <- reset_nas(out, args)
# return result
out
}
calcCDF <- function(u1, u2, family, par, par2) {
if (family == 0) {
res <- u1 * u2
} else if (family == 1) {
cdf <- function(u, v) pmvnorm(upper = c(qnorm(u), qnorm(v)),
corr = matrix(c(1, par, par, 1), 2, 2))
res <- mapply(cdf, u1, u2, SIMPLIFY = TRUE)
} else if(family == 2) {
par2 = round(par2)
cdf = function(u,v) pmvt(upper = c(qt(u,df = par2), qt(v,df = par2)),
corr = matrix(c(1, par, par, 1), 2, 2),
df = par2)
res = mapply(cdf, u1, u2, SIMPLIFY = TRUE)
} else if (family %in% c(3:10, 41)) {
res <- .C("archCDF",
as.double(u1),
as.double(u2),
as.integer(length(u1)),
as.double(c(par, par2)),
as.integer(family),
as.double(rep(0, length(u1))),
PACKAGE = "VineCopula")[[6]]
} else if (family %in% c(13, 14, 16:20, 51)) {
res <- u1 + u2 - 1 + .C("archCDF",
as.double(1 - u1),
as.double(1 - u2),
as.integer(length(u1)),
as.double(c(par, par2)),
as.integer(family - 10),
as.double(rep(0, length(u1))),
PACKAGE = "VineCopula")[[6]]
} else if (family %in% c(23, 24, 26:30, 61)) {
res <- u2 - .C("archCDF",
as.double(1 - u1),
as.double(u2),
as.integer(length(u1)),
as.double(c(-par, -par2)),
as.integer(family - 20),
as.double(rep(0, length(u1))),
PACKAGE = "VineCopula")[[6]]
} else if (family %in% c(33, 34, 36:40, 71)) {
res <- u1 - .C("archCDF",
as.double(u1),
as.double(1 - u2),
as.integer(length(u1)),
as.double(c(-par, -par2)),
as.integer(family - 30),
as.double(rep(0, length(u1))),
PACKAGE = "VineCopula")[[6]]
} else if (family %in% c(104, 114, 124, 134, 204, 214, 224, 234)) {
if (family == 104) {
par3 <- 1
res <- .C("TawnC",
as.double(u1),
as.double(u2),
as.integer(length(u1)),
as.double(par),
as.double(par2),
as.double(par3),
as.double(rep(0, length(u1))),
PACKAGE = "VineCopula")[[7]]
}
if (family == 114) {
par3 <- 1
res <- u1 + u2 - 1 + .C("TawnC",
as.double(1-u1),
as.double(1-u2),
as.integer(length(u1)),
as.double(par),
as.double(par2),
as.double(par3),
as.double(rep(0, length(u1))),
PACKAGE = "VineCopula")[[7]]
}
if (family == 124) {
par3 <- par2
par2 <- 1
res <- u2 - .C("TawnC",
as.double(1-u1),
as.double(u2),
as.integer(length(u1)),
as.double(-par),
as.double(par2),
as.double(par3),
as.double(rep(0, length(u1))),
PACKAGE = "VineCopula")[[7]]
}
if (family == 134) {
par3 <- par2
par2 <- 1
res <- u1 - .C("TawnC",
as.double(u1),
as.double(1-u2),
as.integer(length(u1)),
as.double(-par),
as.double(par2),
as.double(par3),
as.double(rep(0, length(u1))),
PACKAGE = "VineCopula")[[7]]
}
if (family == 204) {
par3 <- par2
par2 <- 1
res <- .C("TawnC",
as.double(u1),
as.double(u2),
as.integer(length(u1)),
as.double(par),
as.double(par2),
as.double(par3),
as.double(rep(0, length(u1))),
PACKAGE = "VineCopula")[[7]]
}
if (family == 214) {
par3 <- par2
par2 <- 1
res <- u1 + u2 - 1 + .C("TawnC",
as.double(1-u1),
as.double(1-u2),
as.integer(length(u1)),
as.double(par),
as.double(par2),
as.double(par3),
as.double(rep(0, length(u1))),
PACKAGE = "VineCopula")[[7]]
}
if (family == 224) {
par3 <- 1
res <- u2 - .C("TawnC",
as.double(1-u1),
as.double(u2),
as.integer(length(u1)),
as.double(-par),
as.double(par2),
as.double(par3),
as.double(rep(0, length(u1))),
PACKAGE = "VineCopula")[[7]]
}
if (family == 234) {
par3 <- 1
res <- u1 - .C("TawnC",
as.double(u1),
as.double(1-u2),
as.integer(length(u1)),
as.double(-par),
as.double(par2),
as.double(par3),
as.double(rep(0, length(u1))),
PACKAGE = "VineCopula")[[7]]
}
} else {
res <- rep(NA, length(u1))
}
## return results
res
}
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