#' Bayesian negative exponential function with Stan,
#' without cross validation, without random effects
#'
#' @export
#' @param mT Mass remaining of training data
#' @param m0 Initial mass of training data
#' @param time Vector of time values for training data
#' @param sp Numeric group identifier
#' @param J Number of groups
#' @param X Model matrix for training data
#' @param ... Arguments passed to `rstan::sampling` (e.g. iter, chains).
#' @return An object of class `stanfit` returned by `rstan::sampling`
#'
ne_noCV_noRE_stan <- function(mT, m0, time, sp, J, X, ...) {
stan_data <- list(mT = mT,
m0 = m0,
time = time,
N = length(mT),
sp = sp,
J = J,
X = X,
P = ncol(X))
out <- rstan::sampling(stanmodels$ne_noCV_noRE, data = stan_data,
control = list(adapt_delta = 0.99, max_treedepth = 15), ...)
return(out)
}
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