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#' @title dTTCdtheta_wei function
#'
#' @description function of partial derivates of time-to-cure (TTC) by theta
#' (estimated parameters) from a mixture cure model with uncured survival
#' following a Weibull distribution
#'
#' @param theta estimated parameters from the ouput of a mixture cure model implemented in curesurv
#'
#' @param z_ucured covariates matrix acting on survival function of uncured
#'
#' @param z_pcured covariates matrix acting on cure proportion
#'
#' @param epsilon value fixed by user to estimate the TTC \eqn{\text{Pi}(t)\geq (1-\epsilon)}.
#' By default \eqn{\epsilon = 0.05}.
#'
#' @param TTC time-to-cure previously estimated using TTC_wei
#'
#' @keywords internal
dTTCdtheta_wei <- function(z_ucured = z_ucured,
z_pcured = z_pcured,
theta = theta,
epsilon = epsilon, TTC)
{
n_z_pcured <- ncol(z_pcured)
n_z_pcured <- ncol(z_pcured)
n_z_ucured <- ncol(z_ucured)
if (n_z_pcured > 0 & n_z_ucured > 0 ) {
beta0 <- theta[1]
betak <- theta[2:(1 + n_z_pcured)]
lambda <- theta[(1 + n_z_pcured + 1)]
gamma <- theta[(1 + n_z_pcured + 2)]
delta <- -theta[(1 + n_z_pcured + 3):(1 + n_z_pcured + 2 + n_z_ucured)]
pcure <- beta0 + z_pcured %*% betak
time_to_cure_ttc <- TTC
dTTCdbeta0 <-
(1 / exp(gamma)) * time_to_cure_ttc * log((epsilon / (1 - epsilon)) * exp(pcure)) ^
(-1)
dTTCdbetak <- sweep(z_pcured, MARGIN = 1, dTTCdbeta0, '*')
dTTCdlambda <- -(1 / exp(gamma)) * time_to_cure_ttc
dTTCdgamma <-
-(1 / exp(gamma)) * log(-(1 / exp(lambda)) * log(((
epsilon / (1 - epsilon)
) * exp(pcure)) ^ exp(-z_ucured %*% delta))) * time_to_cure_ttc
dTTCddelta <- sweep(z_ucured, MARGIN = 1, dTTCdlambda, '*')
derivees_partielles <- cbind(
dTTCdbeta0 = dTTCdbeta0,
dTTCdbetak = dTTCdbetak,
dTTCdlambda = dTTCdlambda,
dTTCdgamma = dTTCdgamma,
dTTCddelta = dTTCddelta
)
} else if (n_z_pcured > 0 & n_z_ucured == 0 ) {
beta0 <- theta[1]
betak <- theta[2:(1 + n_z_pcured)]
lambda <- theta[(1 + n_z_pcured + 1)]
gamma <- theta[(1 + n_z_pcured + 2)]
delta <- -theta[(1 + n_z_pcured + 3):(1 + n_z_pcured + 2 + n_z_ucured)]
pcure <- beta0 + z_pcured %*% betak
time_to_cure_ttc <- TTC
dTTCdbeta0 <-
(1 / exp(gamma)) * time_to_cure_ttc * log((epsilon / (1 - epsilon)) * exp(pcure)) ^
(-1)
dTTCdbetak <- sweep(z_pcured, MARGIN = 1, dTTCdbeta0, '*')
dTTCdlambda <- -(1 / exp(gamma)) * time_to_cure_ttc
dTTCdgamma <-
-(1 / exp(gamma)) * log(-(1 / exp(lambda)) * log(((
epsilon / (1 - epsilon)
) * exp(pcure)) )) * time_to_cure_ttc
derivees_partielles <- cbind(
dTTCdbeta0 = dTTCdbeta0,
dTTCdbetak = dTTCdbetak,
dTTCdlambda = dTTCdlambda,
dTTCdgamma = dTTCdgamma
)
} else if (n_z_pcured == 0 & n_z_ucured > 0 ) {
beta0 <- theta[1]
lambda <- theta[(1 + n_z_pcured + 1)]
gamma <- theta[(1 + n_z_pcured + 2)]
delta <- -theta[(1 + n_z_pcured + 3):(1 + n_z_pcured + 2 + n_z_ucured)]
pcure <- beta0
time_to_cure_ttc <- TTC
dTTCdbeta0 <-
(1 / exp(gamma)) * time_to_cure_ttc * log((epsilon / (1 - epsilon)) * exp(pcure)) ^(-1)
dTTCdlambda <- -(1 / exp(gamma)) * time_to_cure_ttc
dTTCdgamma <- -(1 / exp(gamma)) * log(-(1 / exp(lambda)) * log(((
epsilon / (1 - epsilon)
) * exp(pcure)) ^ exp(-z_ucured %*% delta))) * time_to_cure_ttc
dTTCddelta <- sweep(z_ucured, MARGIN = 1, dTTCdlambda, '*')
derivees_partielles <- cbind(
dTTCdbeta0 = dTTCdbeta0,
dTTCdlambda = dTTCdlambda,
dTTCdgamma = dTTCdgamma,
dTTCddelta = dTTCddelta
)
} else if (n_z_pcured == 0 & n_z_ucured == 0 ) {
beta0 <- theta[1]
lambda <- theta[2]
gamma <- theta[3]
pcure <- beta0
time_to_cure_ttc <- TTC
dTTCdbeta0 <-(1 / exp(gamma)) * time_to_cure_ttc * log((epsilon / (1 - epsilon)) * exp(pcure)) ^
(-1)
dTTCdlambda <- -(1 / exp(gamma)) * time_to_cure_ttc
dTTCdgamma <--(1 / exp(gamma)) * log(-(1 / exp(lambda)) * log(((
epsilon / (1 - epsilon)
) * exp(pcure)) ^ exp(0))) * time_to_cure_ttc
derivees_partielles <- cbind(dTTCdbeta0 = dTTCdbeta0,
dTTCdlambda = dTTCdlambda,
dTTCdgamma = dTTCdgamma)
}
return(derivees_partielles)
}
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