Prepare Electronic Prescription Record Data to Estimate Drug Exposure

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Documentation for package ‘drugprepr’ version 0.0.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

clean_duration	Clean implausibly-long prescription durations
close_small_gaps	Close small gaps between successive prescriptions
compute_ndd	Compute numerical daily dose from free-text prescribing instructions
dataset1	Example data from the Clinical Practice Research Datalink (CPRD).
decision_1	Decision 1: impute implausible total quantities
decision_10	Decision 10: close small gaps between successive prescriptions
decision_2	Decision 2: impute missing total quantities
decision_3	Decision 3: impute implausible daily doses
decision_4	Decision 4: impute missing daily doses
decision_5	Decision 5: impute implausible prescription durations
decision_6	Decision 6: choose method of calculating prescription duration
decision_7	Decision 7: impute missing prescription durations
decision_8	Decision 8: disambiguate prescriptions with the same start date
decision_9	Decision 9: handle overlapping prescription periods
drug_prep	Run drug preparation algorithm
example_therapy	Example electronic prescription dataset
get_mode	Get the mode (most common value) of a vector
impute	Impute missing or implausible values
impute_duration	Replace missing or implausible prescription durations
impute_ndd	Replace implausible or missing numerical daily doses (NDD)
impute_qty	Find implausible entries Replace implausible or missing prescription quantities
isolate_overlaps	Separating overlapping prescription periods
make_decisions	Human-friendly interface to the drug prep algorithm
min_max_dat	Example min-max data.
outside_range	Do values fall outside a specified 'plausible' range?
shift_interval	Shift time intervals until they no longer overlap