Package overview

surveil-package

The 'surveil' package

Time series models

Model-fitting function and methods

stan_rw()

Time series models for mortality and disease incidence

print(<surveil>) plot(<surveil>) plot(<list>)

Methods for fitted surveil models

waic()

Widely Applicable Information Criteria

Rate adjustments

apc()

Annual and cumulative percent change

print(<apc>) plot(<apc>)

Methods for APC objects

standardize()

Age-standardized rates

print(<stand_surveil>) plot(<stand_surveil>)

Methods for age-standardized rates

Inequality

Functions and methods for measuring health inequalities

group_diff()

Measures of pairwise inequality

plot(<surveil_diff>) print(<surveil_diff>)

Methods for surveil_diff objects

theil() theil2()

Theil's inequality index

plot(<theil>) plot(<theil_list>) print(<theil>) print(<theil_list>)

Methods for Theil's index

Prior distributions

Functions to set parameters for prior distributions

normal() lkj()

Prior distributions

Data

standard

2000 U.S. standard million population

cancer

US cancer incidence by age, 1999-2017

msa

Colorectal cancer incidence by Texas MSA, 1999-2017, ages 50-79