CheckMediationInputs: CheckMediationInputs

In podTockom/medltmle: Longitudinal Mediation Analysis with Time-varying Mediators

CheckMediationInputs

Description

Error checking for inputs.

Usage

CheckMediationInputs(
  data,
  nodes,
  survivalOutcome,
  QLform,
  QZform,
  qLform,
  qzform,
  gform,
  gbounds,
  Yrange,
  deterministic.g.function,
  SL.library,
  regimes,
  regimes.prime,
  working.msm,
  summary.measures,
  final.Ynodes,
  stratify,
  msm.weights,
  deterministic.Q.function,
  observation.weights,
  gcomp,
  IC.variance.only
)

Arguments

data	Dataframe containing the data in a wide format.
nodes	list of nodes.
survivalOutcome	logical variable specifying if the outcome is survival.
QLform	Q forms for L covariates.
QZform	Q forms for Z covariates.
qLform	g form for L covariates.
qzform	g form for Z covariates.
gform	g form for intervention (if there is a censoring variable, include C as well).
gbounds	Bounds for the propensity score.
Yrange	Specify range for the outcome.
deterministic.g.function	Logical specifying if g is a deterministic function.
SL.library	SuperLearner library for estimation.
regimes	Regimes for abar as output by the RegimesFromAbar function.
regimes.prime	Regimes for abar.prime as output by the RegimesFromAbar function.
working.msm	Working MSM as output by the GetMediationMSMInputsForLtmle function.
summary.measures	Summary measures as output by the GetMediationMSMInputsForLtmle function.
final.Ynodes	Final Y node(s).
stratify	Logical enabling stratified outcome.
msm.weights	MSM weights.
deterministic.Q.function	Logical specifying if Q is a deterministic function.
observation.weights	Provide weight for observations
gcomp	gcomp formula.
IC.variance.only	Only estimate variance through the influence curve

Value

Checks if the input is valid for further analysis.

podTockom/medltmle documentation built on Aug. 9, 2022, 9:32 a.m.