MOSS: onestep TMLE of treatment-rule specific survival curve

In wilsoncai1992/MOSS: One-Step TMLE for Survival Analysis

Description

updating the pdf of the failure event

Format

R6Class object.

Value

Object of R6Class with methods

Methods

onestep_curve update the initial estimator

Public fields

A

vector of treatment

T_tilde

vector of last follow up time

Delta

vector of censoring indicator

density_failure

survival_curve object of predicted counterfactual survival curve

density_censor

survival_curve object of predicted counterfactual failure event survival curve

g1W

propensity score

A_intervene

the intervention of interest

k_grid

vector of interested time points

Methods

Public methods

• MOSS$new()

• MOSS$onestep_update_curve()

• MOSS$onestep_curve()

• MOSS$print()

• MOSS$clone()

---

Method new()

Usage

MOSS$new(
  A,
  T_tilde,
  Delta,
  density_failure,
  density_censor,
  g1W,
  A_intervene,
  k_grid = NULL
)

---

Method onestep_update_curve()

Usage

MOSS$onestep_update_curve(density_failure, eic_fit, epsilon)

---

Method onestep_curve()

Usage

MOSS$onestep_curve(
  epsilon = 1e-05,
  max_num_interation = 100,
  tmle_tolerance = NULL,
  verbose = FALSE
)

---

Method print()

Usage

MOSS$print()

---

Method clone()

The objects of this class are cloneable with this method.

Usage

MOSS$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

   MOSS$new(
     A,
     T_tilde,
     Delta,
     density_failure,
     density_censor,
     g1W,
     A_intervene = 1,
     k_grid = 1:max(T_tilde)
   )

wilsoncai1992/MOSS documentation built on June 1, 2020, 2:26 p.m.