Software

Repository

View my software on GitHub at https://github.com/jfrench.

R packages

• SpatialTools: Tools for spatial data analysis. Emphasis on kriging. Provides functions for prediction and simulation. Intended to be relatively straightforward, fast, and flexible.
• ExceedanceTools: Provides methods for constructing confidence or credible regions for exceedance sets and contour lines.
• smacpod: Statistical methods for analyzing case-control point data. Methods include the ratio of kernel densities, the difference in K Functions, the spatial scan statistic, and q nearest neighbors of cases.
• smerc: Implements statistical methods for analyzing the counts of areal data, with a focus on the detection of spatial clusters and clustering. The package has a heavy emphasis on spatial scan methods.
• gear: Implements common geostatistical methods in a clean, straightforward, efficient manner.
• autoimage: Functions for displaying multiple images or scatterplots with a color scale, i.e., heat maps, possibly with projected coordinates. The package relies on the base graphics system, so graphics are rendered rapidly.
• cope: Provides functions to compute and plot Coverage Probability Excursion (CoPE) sets for real valued functions on a 2-dimensional domain. CoPE sets are obtained from repeated noisy observations of the function on the entire domain. They are designed to bound the excursion set of the target function at a given level from above and below with a predefined probability. The target function can be a parameter in spatially-indexed linear regression. Support by NIH grant R01 CA157528 is gratefully acknowledged.
• api2lm: Simplifies aspects of linear regression analysis, particularly simultaneous inference. Additionally, supports “A Progressive Introduction to Linear Models” by Joshua French, which can be viewed at https://jfrench.github.io/LinearRegression/.