Package index • healthpopR

Main functions

classify_population(): Create Exposure and Optional Response Groups from Diagnoses
classify_icd10_profile(): Classify ICD-10 Profiles by Exposure Group
search_diagnoses(): Search Diagnoses by ICD Version and Source
plot_age_distribution(): Plot Age Distribution at First Diagnosis for Exposure or Response Group
plot_diagnoses_src(): Plot Venn Diagram of Diagnoses by Source
summary_exp_resp_crosstabulation(): Generate Crosstabulation of Exposure and Response Variables
summary_exp_resp_order(): Summary of Exposure and Response Timing Order
table_age_distribution(): Summarize Age Distribution for Exposure or Response Groups

classify_icd10_profile(): Classify ICD-10 Profiles by Exposure Group
plot_health_icd10_profile(): Plot Health ICD-10 Profile Using Radar Chart
tbl_icd10_diff_by_exposure(): Compare ICD-10 Diagnoses Between Exposure Groups
plot_icd10_diff_by_exposure(): Bar Plot of ICD-10 Diagnosis Differences Between Exposure Groups

plot_surv_mort(): Plot cumulative incidence of mortality and exposure states
create_dsurv(): Create Long-Format Survival Data from Exposure-Response Events
plot_survival_cr(): Plot Competing Risks Survival Curve (Exposure to Response or Death)
plot_survival_km(): Plot Kaplan-Meier Survival Curve (Exposure to Response)
survival_analysis(): Competing risks survival analysis between exposure and response diagnoses

analysis_cox(): Time-dependent Cox Proportional Hazards Analysis with Splines and Diagnostics
cox_create_data(): Create counting-process dataset for time-dependent Cox model
cox_create_model(): Create a Cox Proportional Hazards Model with Splines and Covariates
cox_plot_overall(): Plot Survival Curves from Cox Model Data
cox_plot_spline(): Plot Spline Effect from Cox Proportional Hazards Model

pirr_data(): Prepare Person-Time and Event Data for SIR/IRR Calculations
pirr_results(): Run PIRR-style modeling and summary plots for multiple binary outcomes

recode_icd10_3letters(): Recode diagnosis code to ICD-10 three-letter format
recode_icd10_class(): Recode ICD-10 3-letter codes into broad classification groups
categorize_bmi(): Categorize BMI values into clinical weight categories