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All functions

ESTIMAND_STRATEGIES
Valid ICH E9(R1) intercurrent-event strategies
analyseEstimand()
Analyse an estimand under multiple imputation for dropout
bayesEstimate()
Bayesian estimate of a mean (conjugate Normal-Normal or Stan)
causalMediation()
Model-based causal mediation analysis
clinStatsBackends()
Which optional modelling backends are available
conformalInterval()
Conformal prediction interval for a fitted model
conformalPredict()
Conformal prediction band for a single new patient
coxModel()
Cox proportional-hazards model with a PH check
credibleInterval()
Credible interval from posterior samples
defineEstimand()
Define an ICH E9(R1) estimand
doseResponse()
Therapy dose-response model
estimatedMarginalMeans()
Estimated marginal means
fitMMRM()
Fit a mixed model for repeated measures (MMRM)
fitMixedModel()
Fit a linear mixed-effects model
latentClassGrowth()
Latent-class growth analysis of longitudinal trajectories
milestoneHazard()
Hazard ratio for attaining a milestone
multipleImputation()
Multiply impute missing data
pairwiseContrasts()
Pairwise contrasts of estimated marginal means
peToLong()
Reshape a longitudinal PhysioExperiment to long format
poolEstimates()
Pool estimates across imputations (Rubin's rules)
proportionalRecoveryRule()
Evaluate the proportional recovery rule with an artefact guard
recoveryTrajectoryLME()
Fit a population recovery-trajectory NLME
requireBackend()
Require an optional backend or stop with guidance
scedABAB()
Analyse an ABAB (reversal) single-case design
scedCelerationLine()
Celeration (trend) line for a single-case phase
scedNAP()
Non-overlap of all pairs (NAP)
scedPEM()
Percentage exceeding the median (PEM)
scedPND()
Percentage of non-overlapping data (PND)
scedTau()
Tau non-overlap (Tau)
scedTauU()
Tau-U with baseline-trend correction
scedTwoSDBand()
Two-standard-deviation band decision rule
survivalFit()
Kaplan-Meier survival fit with attainment-time summary
targetTrialEmulate()
Emulate a declared target trial
targetTrialProtocol()
Declare a target-trial protocol
timeToMilestone()
Derive a time-to-milestone survival endpoint