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sakoehler7
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.
Maintained by Brooke Anderson. Last updated 8 years ago.
8 stars 5.23 score 42 scripts
cran
rlme:Rank-Based Estimation and Prediction in Random Effects Nested Models
Estimates robust rank-based fixed effects and predicts robust random effects in two- and three- level random effects nested models. The methodology is described in Bilgic & Susmann (2013) <https://journal.r-project.org/archive/2013/RJ-2013-027/>.
Maintained by Yusuf Bilgic. Last updated 7 years ago.
1.70 score