Package index • vecshift

Core Transformation

Main function for event-based temporal transformation of employment data

vecshift(): Transform Employment Records into Temporal Segments (Core Function)

Modular pipeline for comprehensive employment data processing

process_employment_pipeline(): Process Employment Data Through Complete Pipeline
check_pipeline_functions(): Check Pipeline Function Availability
get_pipeline_recommendations(): Get Pipeline Recommendations

Functions for classifying and analyzing employment status

classify_employment_status(): Apply Employment Status Classification
create_custom_status_rules(): Create Custom Status Classification Rules
get_default_status_rules(): Default Employment Status Classification Rules
analyze_status_patterns(): Analyze Employment Status Patterns
validate_status_classifications(): Validate Employment Status Classifications

Functions for integrating external events and handling unemployment periods

add_external_events(): Add External Event Attributes to Unemployment Periods
add_unemployment_periods(): Add Unemployment Periods at the Beginning and End of Employment Histories
add_unemployment_tail(): Add Unemployment Periods at the End of Employment Histories (Legacy)

Functions for merging and consolidating employment periods

merge_consecutive_employment(): Merge Employment Periods with Multiple Consolidation Modes
merge_consecutive_employment_fast(): Alternative Fast Implementation Using Event-Based Approach
merge_consecutive_employment_fast_with_type(): Fast consolidation with consolidation_type support
merge_original_columns(): Merge Original Data Columns with Temporal Segments
merge_overlapping_values(): Merge Overlapping Values for Employment Periods

Functions for assessing and improving data quality

assess_data_quality(): Comprehensive Data Quality Assessment
validate_employment_data_types(): Validate Employment Data Types and Formats
clean_employment_data(): Clean Employment Data
data_quality: Data Quality and Validation Module

Functions for standardizing and preparing input data

Overview documentation for functional modules

S3 print methods for package objects

print(<employment_quality_report>): Print Employment Quality Report
print(<employment_status_patterns>): Print Employment Status Patterns Analysis
print(<employment_status_validation>): Print Employment Status Validation Results