Spatially-Explicit Power Analysis for Conservation and Ecology
Martha Ellis, Jake Ivan, Jody Tucker, Mike Schwartz
Conducts a spatially-explicit, simulation-based power analysis for detecting trends in population abundance through occupancy-based modeling. Applicable for evaluating monitoring designs in conservation and ecological settings.
raster, RMark, ggplot2, tcltk2, sp, grid, plyr, tcltk

raster, RMark, ggplot2, tcltk2, sp, grid, plyr, tcltk,
grDevices, methods, stats, utils

Wangjian Zhang, Zhicheng Du, Ziqiang Lin, David Q. Rich, Sally W. Thurston, Jijin Yao, Xiaobo Xue, Shao Lin, Yuantao Hao
To clean and analyze the data from the Statewide Planning and Research Cooperative System (SPARCS), and generate sets for statistical modeling.
Additionally, other data with similar format or study objectives can also be handled.

Statistical Package for Analysis Related Cleaning Support
Wangjian Zhang, Zhicheng Du, Ziqiang Lin, Jijin Yao, Yanan Jin, Wayne R. Lawrence, Yuantao Hao
To clean and analyze hospital data, and generate sets for statistical modeling.

Wangjian Zhang, Bo Ye, Zhicheng Du, Ziqiang Lin, Jijin Yao, Yanan Jin, Wayne R. Lawrence, Yuantao Hao

Sites, Polulation, and Records Cleaning Skills
Wangjian Zhang, Bo Ye, Zhicheng Du, Ziqiang Lin, Jijin Yao, Yanan Jin, Wayne R. Lawrence
Data cleaning including 1) generating datasets for time-series and case-crossover analyses based on raw hospital records, 2)linking individuals to a areal map, 3)picking out cases living within a certain distance from a site, etc. For more information, please refer to Zhang W,etc. (2018) <doi: 10.1016/j.envpol.2018.08.030>.

Sites, Population, and Records Cleaning Skills

Rational Approximations of Fractional Stochastic Partial
Differential Equations
person("David","Bolin", email = "davidbolin@gmail.com", role = c("cre", "aut"))
Functions that compute rational approximations of fractional elliptic stochastic partial differential equations. The package also contains functions for common statistical usage of these approximations. The main reference for the methods is Bolin and Kirchner (2019) <arXiv:1711.04333>, which can be generated by the citation function in R.
knitr, rmarkdown, INLA (>= 0.0-1468840039), testthat,
excursions