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Package-level documentation

vimcheck vimcheck-package
vimcheck: Diagnostics for Vaccine Impact Modelling Consortium Burden and Impact Estimates

Burden estimate diagnostics

Check burden estimates

basic_burden_sanity()
Sanity checks on burden estimates
check_demography_alignment()
Check incoming burden cohort size against interpolated population
validate_complete_incoming_files()
Validate files in a burden estimate
validate_file_dict_template()
Validate file dictionary template
validate_template_alignment()
Check incoming burden set against template

Prepare burden estimates for plotting

Plot burden estimates

Impact estimate diagnostics

Check impact estimates

compare_natl_subreg()
Compare sub-regional and national estimates
filter_recent_ts() filter_excluded_diseases_ts() flag_duplicates() filter_invalid_trajectories()
Filter data for touchstones or diseases
flag_large_diffs()
Flag significant changes in impact estimates
gen_combined_df()
Combine and align data from two touchstones
gen_national_iqr()
Generate IQR for key outcomes
generate_diffs()
Explore significant changes in deaths and DALYs
save_outputs()
Save pressure-testing diagnostics to local file

Prepare impact estimate checks for plotting

prep_plot_mod_grp_varn() prep_plot_vax_gavi() prep_plot_cumul()
Prepare impact diagnostics for plotting

Plot impact estimates

Plotting helper functions

theme_vimc() theme_vimc_noxaxis()
Plotting theme for vimcheck

Internal functions

adaptive_round()
Adaptively round numerics
add_campaign_id()
Add campaign id to dataframe
make_novax_scenario()
Make data for a no-vaccination scenario
round_numeric()
Round numeric columns of a data.frame
validate_ts_year()
Check and return touchstone year-month

Package data

eg_burden_template
Example of VIMC burden template provided to modellers
eg_coverage
Example of scenario coverage data
eg_fvps
Example of FVP estimate data
eg_impact
Example of impact data
eg_wpp
Example of UN-WPP time-series data
who_subregions
Data on countries in WHO subregions

Package constants