Other packages > Find by keyword >

surveil  

Time Series Models for Disease Surveillance
View on CRAN: Click here


Download and install surveil package within the R console
Install from CRAN:
install.packages("surveil")

Install from Github:
library("remotes")
install_github("cran/surveil")

Install by package version:
library("remotes")
install_version("surveil", "0.3.0")



Attach the package and use:
library("surveil")
Maintained by
Connor Donegan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-11
Latest Update: 2022-08-22
Description:
Fits time series models for routine disease surveillance tasks and returns probability distributions for a variety of quantities of interest, including age-standardized rates, period and cumulative percent change, and measures of health inequality. Calculates Theil's index to measure inequality among multiple groups, and can be extended to measure inequality across multiple groups nested within geographies. Inference is completed using Markov chain Monte Carlo via the Stan modeling language. The models are appropriate for count data such as disease incidence and mortality data, employing a Poisson or binomial likelihood and the first-difference (random-walk) prior for unknown risk. Optionally add a covariance matrix for multiple, correlated time series models. References: Donegan, Hughes, and Lee (2022) <doi:10.2196/34589>; Stan Development Team (2021) <https://mc-stan.org>; Theil (1972, ISBN:0-444-10378-3).
How to cite:
Connor Donegan (2021). surveil: Time Series Models for Disease Surveillance. R package version 0.3.0, https://cran.r-project.org/web/packages/surveil. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.1.0 (2021-11-11 10:10), 0.1.1 (2022-01-03 17:50), 0.2.0 (2022-04-03 20:40), 0.2.1 (2022-08-22 09:50), 0.2.2 (2023-10-03 02:50)
Other packages that cited surveil R package
View surveil citation profile
Other R packages that surveil depends, imports, suggests or enhances
Complete documentation for surveil
Functions, R codes and Examples using the surveil R package
Some associated functions: apc . cancer . group_diff . msa . plot.surveil . print.apc . priors . stan_rw . stand_surveil . standard . standardize . surveil-package . surveil_diff . theil . theil_methods . waic . 
Some associated R codes: apc.R . data.R . gg-theme-surveil.R . group-diff.R . methods.R . priors.R . stan_rw.R . stanmodels.R . surveil-package.R . theil.R .  Full surveil package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

con2aqi  
Calculate the AQI from Pollutant Concentration
To calculate the AQI (Air Quality Index) from pollutant concentration data. O3, PM2.5, PM10, CO, SO ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
robregcc  
Robust Regression with Compositional Covariates
We implement the algorithm estimating the parameters of the robust regression model with composition ...
Download / Learn more Package Citations See dependency  
bacondecomp  
Goodman-Bacon Decomposition
Decomposition for differences-in-differences with variation in treatment timing from Goodman-Bacon ...
Download / Learn more Package Citations See dependency  

23,092

R Packages

198,677

Dependencies

62,675

Author Associations

23,089

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA