In joshuaschwab/ltmle: Longitudinal Targeted Maximum Likelihood Estimation

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

ltmle()

ltmle(data, Anodes, Cnodes = NULL, Lnodes = NULL, Ynodes,
  survivalOutcome = NULL, Qform = NULL, gform = NULL, abar,
  rule = NULL, gbounds = c(0.01, 1), Yrange = NULL,
  deterministic.g.function = NULL, stratify = FALSE,
  SL.library = "glm", SL.cvControl = list(), estimate.time = TRUE,
  gcomp = FALSE, iptw.only = FALSE, deterministic.Q.function = NULL,
  variance.method = "tmle", observation.weights = NULL, id = NULL)

Required:
- data
- Anodes
- Ynodes
- abar
Often needed:
- Cnodes
- Lnodes
- SL.library
- survivalOutcome
Rarely needed (simple):
- gbounds
- Yrange
- stratify
- SL.cvControl
- estimate.time
- gcomp
- iptw.only
- variance.method
- observation.weights
- id
Rarely needed (complicated):
- Qform
- gform
- rule
- deterministic.g.function
- deterministic.Q.function

ltmleMSM()

ltmleMSM(data, Anodes, Cnodes = NULL, Lnodes = NULL, Ynodes,
  survivalOutcome = NULL, Qform = NULL, gform = NULL,
  gbounds = c(0.01, 1), Yrange = NULL,
  deterministic.g.function = NULL, SL.library = "glm",
  SL.cvControl = list(), regimes, working.msm, summary.measures,
  final.Ynodes = NULL, stratify = FALSE, msm.weights = "empirical",
  estimate.time = TRUE, gcomp = FALSE, iptw.only = FALSE,
  deterministic.Q.function = NULL, variance.method = "tmle",
  observation.weights = NULL, id = NULL)

Required:
- data
- Anodes
- Ynodes
- regimes
- working.msm
- summary.measures
Often needed:
- Cnodes
- Lnodes
- SL.library
- survivalOutcome
- final.Ynodes
Rarely needed (simple):
- msm.weights
- gbounds
- Yrange
- stratify
- SL.cvControl
- estimate.time
- gcomp
- iptw.only
- variance.method
- observation.weights
- id
Rarely needed (complicated):
- Qform
- gform
- rule
- deterministic.g.function
- deterministic.Q.function