Easily import the MI-SUVI data sets. The user can import data sets with full metrics, percentiles, Z-scores, or rankings.
    Data is available at both the County and Zip Code Tabulation Area (ZCTA) levels. This package also includes a function to import 
    shape files for easy mapping and a function to access the full technical documentation. All data is sourced from the Michigan Department of Health and Human Services.

Provides methods to estimate serial intervals and time-varying case
  reproduction numbers from infectious disease outbreak data. Serial intervals measure
  the time between symptom onset in linked transmission pairs, while case reproduction 
  numbers quantify how many secondary cases each infected individual generates 
  over time. These parameters are essential for understanding transmission 
  dynamics, evaluating control measures, and informing public health responses. 
  The package implements the maximum likelihood framework from Vink et al. (2014) 
  <doi:10.1093/aje/kwu209> for serial interval estimation and the retrospective 
  method from Wallinga & Lipsitch (2007) <doi:10.1098/rspb.2006.3754> for 
  reproduction number estimation. Originally developed for scabies transmission 
  analysis but applicable to other infectious diseases including influenza, 
  COVID-19, and emerging pathogens. Designed for epidemiologists, public health 
  researchers, and infectious disease modelers working with outbreak surveillance 
  data.

Provides tools for multiple imputation of missing data in multilevel
 modeling. Includes a user-friendly interface to the packages 'pan' and 'jomo',
 and several functions for visualization, data management and the analysis 
 of multiply imputed data sets.

Allows the estimation and downstream statistical analysis of the mitochondrial DNA Heteroplasmy calculated from single-cell datasets <https://github.com/ScialdoneLab/MitoHEAR/tree/master>.

Tools to perform analyses and combine results from
        multiple-imputation datasets.