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#' censored: parsnip Engines for Survival Models
#'
#' censored provides engines for survival models from the parsnip package.
#' The models include parametric survival models, proportional hazards models,
#' decision trees, boosted trees, bagged trees, and random forests. See the
#' "Fitting and Predicting with censored" article for various examples. See
#' below for examples of classic survival models and how to fit them with
#' censored.
#'
#' @examples
#' # Accelerated Failure Time (AFT) model
#'
#' fit_aft <- survival_reg(dist = "weibull") %>%
#' set_engine("survival") %>%
#' fit(Surv(time, status) ~ age + sex + ph.karno, data = lung)
#' predict(fit_aft, lung[1:3, ], type = "time")
#'
#'
#' # Cox's Proportional Hazards model
#'
#' fit_cox <- proportional_hazards() %>%
#' set_engine("survival") %>%
#' fit(Surv(time, status) ~ age + sex + ph.karno, data = lung)
#' predict(fit_cox, lung[1:3, ], type = "time")
#'
#'
#' # Andersen-Gill model for recurring events
#'
#' fit_ag <- proportional_hazards() %>%
#' set_engine("survival") %>%
#' fit(Surv(tstart, tstop, status) ~ treat + inherit + age + strata(hos.cat),
#' data = cgd
#' )
#' predict(fit_ag, cgd[1:3, ], type = "time")
#'
"_PACKAGE"
## usethis namespace: start
#' @importFrom dials parameters
#' @importFrom dplyr %>%
#' @importFrom generics fit fit_xy
#' @importFrom hardhat tune
#' @importFrom lifecycle deprecated
#' @importFrom parsnip eval_args multi_predict predict_raw predict_survival
#' @importFrom parsnip predict_linear_pred
#' @importFrom parsnip predict.model_fit translate
#' @importFrom purrr map map_dbl
#' @importFrom rlang %||%
#' @importFrom rlang abort call2 empty_env enquos eval_tidy expr is_call
#' @importFrom rlang new_quosure check_dots_empty caller_env
#' @importFrom stats na.exclude na.pass predict quantile setNames
#' @importFrom survival strata
#' @importFrom tibble as_tibble tibble
#' @importFrom tidyr gather pivot_longer
#' @importFrom utils getFromNamespace
## usethis namespace: end
NULL
utils::globalVariables(
c(
"eval_time",
".time",
"object",
"new_data",
".label",
".pred",
".cuts",
".id",
".tmp",
"engine",
"predictor_indicators",
".strata",
"group",
".pred_quantile",
".quantile",
"interval",
"level",
".pred_linear_pred",
".pred_link",
".pred_time",
".pred_survival",
"next_event_time",
"sum_component",
"time_interval",
"quantile_levels"
)
)
# quiet R-CMD-check NOTEs that prodlim is unused
# (parsnip uses it for all censored regression models
# but only has it in Suggests)
#' @importFrom prodlim prodlim
NULL
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