The FDA Adverse Event Reporting System (FAERS) is a database used for the spontaneous reporting of adverse events and medication errors related to human drugs and therapeutic biological products. faers pacakge serves as the interface between the FAERS database and R. Furthermore, faers pacakge offers a standardized approach for performing pharmacovigilance analysis.
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See how to installReview the instructions the agent will receive before you install.
library(faers)
# 1. Check metadata of FAERS
faers_meta(internal = TRUE)
# 2. Download and parse quarterly data files
data2 <- faers(
c(2004, 2017),
c("q1", "q2"),
dir = system.file("extdata", package = "faers"),
compress_dir = tempdir()
)
# 3. Retrieve specific field data (e.g., demographic data)
demo_data <- faers_get(data2, "demo")
# 4. Load standardized data and retrieve MedDRA hierarchy
data_std <- readRDS(system.file("extdata", "standardized_data.rds", package = "faers"))
meddra_hier <- faers_meddra(data_std, use = "hierarchy")
Input/Output Note: Inputs are year, quarter, and directory paths for FAERS raw data; outputs are standardized FAERS data tables and MedDRA hierarchy mappings.
faers_get.faers_standardize and faers_meddra.FALSE): Logical indicating whether to use internal cached FAERS metadata in faers_meta."hierarchy"): Component of MedDRA to retrieve (e.g., "hierarchy" or "SMQ").faers_meta(internal = TRUE) to verify available quarters and file sizes before downloading.faers_combine to merge multiple quarters of parsed FAERS data into a single object.faers_standardize with a valid MedDRA path to ensure consistent terminology.meddra_path is correctly specified.openfda: For querying the OpenFDA API directly instead of parsing raw quarterly files.No reviews yet. Tell others what you thought.
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