Create Multiple Longitudinal Studies

Creates multiple longitudinal studies simultaneously, allowing for efficient batch generation of study data with shared or per-study configuration.

Usage

create_multiple_longitudinal_studies(
  study_names,
  participants = 100,
  sites = 10,
  snapshots = 5,
  interval = "1 month",
  domains = c("AE", "LB", "VISIT"),
  run_analytics = TRUE,
  analytics_package = NULL,
  analytics_workflows = NULL,
  run_reporting = FALSE,
  outlier_intensity = 1,
  study_configs = NULL,
  parallel = FALSE,
  export_studies = FALSE,
  export_dir = ".",
  verbose = FALSE
)

Arguments

study_names

Character vector of study names/identifiers

participants

Number of participants per study (default 100). Can be a single value applied to all studies or a vector of values per study.

sites

Number of sites per study (default 10). Can be a single value applied to all studies or a vector of values per study.

snapshots

Number of snapshots per study (default 5). Can be a single value applied to all studies or a vector of values per study.

interval

Time between snapshots (default "1 month"). Can be a single value applied to all studies or a vector of values per study.

domains

Clinical domains to include (default c("AE", "LB", "VISIT")). Applied to all studies unless overridden in study_configs.

run_analytics

Whether to run the analytics pipeline (default TRUE)

analytics_package

Package containing workflows (optional)

analytics_workflows

Specific workflows to run (optional)

run_reporting

Whether to run the reporting pipeline after analytics (default FALSE)

outlier_intensity

Global multiplier for outlier-like values (default 1). Can be a single value applied to all studies or a vector of values per study.

study_configs

Optional named list of per-study configurations to override defaults. Names should match study_names. Each element can contain any of the parameters above to override the global settings for that specific study.

parallel

Whether to generate studies in parallel (default FALSE). Requires parallel processing setup if TRUE.

export_studies

Whether to automatically export all studies to disk (default FALSE)

export_dir

Directory to export studies to if export_studies = TRUE

verbose

Whether to print progress/output messages (default FALSE)

Value

Named list of LongitudinalStudy objects, with names corresponding to study_names

Examples

if (FALSE) { # \dontrun{
# Create three studies with shared configuration
studies <- create_multiple_longitudinal_studies(
  study_names = c("STUDY-001", "STUDY-002", "STUDY-003"),
  participants = 150,
  sites = 12,
  snapshots = 6,
  domains = c("AE", "LB", "VISIT", "PD"),
  verbose = TRUE
)

# Create studies with per-study configuration
studies <- create_multiple_longitudinal_studies(
  study_names = c("PHASE2-001", "PHASE3-001"),
  participants = c(100, 500),
  sites = c(8, 25),
  snapshots = c(4, 12),
  study_configs = list(
    "PHASE2-001" = list(domains = c("AE", "LB")),
    "PHASE3-001" = list(domains = c("AE", "LB", "VISIT", "PD", "PK"))
  ),
  verbose = TRUE
)
} # }