Package index • peopleparser

Parse names

Top-level entry points for turning raw names into structured components.

parse_name(): Parse a Full Name into Components

parse_names(): Parse a Vector of Names

Prepare & clean

Sanitize and normalize raw name strings before parsing.

sanitize_input(): Sanitize Raw Name Input

prep_name(): Prep a Name for Parsing

de_clutter(): Remove Nuisance Text From a Name

trim_spaces(): Collapse and Trim Whitespace

remove_punctuation(): Remove Punctuation

fix_locative_surnames(): Fix Locative or Compound Surnames by Adding Dashes

remove_elements(): Remove Character Elements From a Vector

extract_component(): Extract Specific Name Components

Census-based inference

Resolve name ordering, surnames, and gender from census frequencies.

get_census_data(): Look Up Census Name-Frequency Data for a Character Vector

check_if_surname(): Check Whether Tokens Read as Surnames

determine_gender(): Infer Gender from a Census Name Matrix

determine_surname(): Determine the Surname (Last Name) Position

assign_names(): Parse Core Name Components and Gender

resolve_middle_name(): Resolve Middle Names as Potential Surnames

Reference data

Bundled datasets and lookup tables.

census.names: Frequency of name occurrence on US birth certificates.

known_titles(): Known Titles and Abbreviations

prx: Known Prefix (Salutation / Title) Strings

sfx: Known Suffix Strings

names_100: Sample of 100 Names for Testing

names_1000: Sample of 1,000 Names for Testing

get_example_names(): Build a test sample of names from IRS 990s