This package is considered a duplicate. The official version of this package is found at:https://sakoehler7.r-universe.dev/eesim

Package: eesim 0.1.0

Brooke Anderson

eesim: Simulate and Evaluate Time Series for Environmental Epidemiology

Provides functions to create simulated time series of environmental exposures (e.g., temperature, air pollution) and health outcomes for use in power analysis and simulation studies in environmental epidemiology. This package also provides functions to evaluate the results of simulation studies based on these simulated time series. This work was supported by a grant from the National Institute of Environmental Health Sciences (R00ES022631) and a fellowship from the Colorado State University Programs for Research and Scholarly Excellence.

Authors:Sarah Koehler [aut], Brooke Anderson [aut, cre]

eesim_0.1.0.tar.gz
eesim_0.1.0.zip(r-4.5)eesim_0.1.0.zip(r-4.4)eesim_0.1.0.zip(r-4.3)
eesim_0.1.0.tgz(r-4.5-any)eesim_0.1.0.tgz(r-4.4-any)eesim_0.1.0.tgz(r-4.3-any)
eesim_0.1.0.tar.gz(r-4.5-noble)eesim_0.1.0.tar.gz(r-4.4-noble)
eesim_0.1.0.tgz(r-4.4-emscripten)eesim_0.1.0.tgz(r-4.3-emscripten)
eesim.pdf |eesim.html✨
eesim/json (API)

# Install 'eesim' in R:

install.packages('eesim', repos = c('https://epiverse-connect.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sakoehler7/eesim/issues

On CRAN:

2.00 score 186 downloads 1 mentions 26 exports 37 dependencies

Last updated 8 years agofrom:a3e693b814. Checks:3 OK, 6 NOTE. Indexed: no.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 23 2025
R-4.5-win	NOTE	Mar 23 2025
R-4.5-mac	NOTE	Mar 23 2025
R-4.5-linux	NOTE	Mar 23 2025
R-4.4-win	NOTE	Mar 23 2025
R-4.4-mac	NOTE	Mar 23 2025
R-4.4-linux	NOTE	Mar 23 2025
R-4.3-win	OK	Mar 23 2025
R-4.3-mac	OK	Mar 23 2025

Exports:beta_bias beta_var bin_t binary_exposure calc_t calendar_plot check_sims continuous_exposure coverage_beta coverage_plot create_baseline create_lambda create_sims custom_baseline custom_exposure eesim fit_mods format_out mean_beta power_beta power_calc sim_baseline sim_exposure sim_outcome spline_mod std_exposure

Dependencies:cli colorspace cpp11 dplyr fansi farver generics ggplot2 glue gridExtra gtable isoband labeling lattice lifecycle lubridate magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig purrr R6 RColorBrewer rlang scales tibble tidyselect timechange utf8 vctrs viridis viridisLite withr

Using the eesim package

Sarah Koehler and Brooke Anderson

Rendered fromeesim.Rmdusingknitr::rmarkdownon Mar 23 2025.

Last update: 2017-06-03
Started: 2017-06-03

Help page	Topics
Percent Bias of Estimated Coefficient	beta_bias
Standard Deviation of Estimated Coefficients	beta_var
Create a binary exposure trend vector	bin_t
Simulate binary exposure data	binary_exposure
Create a continuous exposure trend vector	calc_t
Create calendar plot	calendar_plot
Assess model performance	check_sims
Simulate continuous exposure data	continuous_exposure
Empirical coverage of confidence intervals	coverage_beta
Plot coverage of empirical confidence intervals	coverage_plot
Create a series of baseline outcomes	create_baseline
Create a series of mean outcome values	create_lambda
Create simulated data for many repetitions	create_sims
Pull smoothed Chicago NMMAPS health outcome data	custom_baseline
Pull exposure series from data set	custom_exposure
Simulate data, fit models, and assess models	eesim
Fit a model to simulated datasets	fit_mods
Format output for custom model to use in eesim	format_out
Average Estimated Coefficient	mean_beta
Estimate power	power_beta
Power Calculations	power_calc
Expected baseline health outcomes	sim_baseline
Simulate time series of exposure values	sim_exposure
Simulate outcome	sim_outcome
Fit a generalized linear model	spline_mod
Simulate exposure data using default methods	std_exposure

Package: eesim 0.1.0

eesim: Simulate and Evaluate Time Series for Environmental Epidemiology

Using the eesim package

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)