Random Effects Meta-Analysis for Correlated Test Statistics
person("Gabriel", "Hoffman", , "gabriel.hoffman@mssm.edu", role = c("aut", "cre"))
Meta-analysis is widely used to summarize estimated effects sizes across multiple statistical tests. Standard fixed and random effect meta-analysis methods assume that the estimated of the effect sizes are statistically independent.  Here we relax this assumption and enable meta-analysis when the correlation matrix between effect size estimates is known.  Fixed effect meta-analysis uses the method of Lin and Sullivan (2009) <doi:10.1016/j.ajhg.2009.11.001>, and random effects meta-analysis uses the method of Han, et al. <doi:10.1093/hmg/ddw049>.
R (>= 3.6.0), RUnit, clusterGeneration, ggplot2, grid,
reshape2, methods

Regional Spatial Modeling with Continuous Borders
person("Jadon", "Wagstaff", email = "jadonw@gmail.com", role = c("aut", "cre"))
Automatically creates separate regression models for different spatial regions.
The prediction surface is smoothed using a novel method developed by the package creator.
If regional models are continuous, the resulting prediction surface is continuous across
the spatial dimensions, even at region borders.

c(person("Jadon", "Wagstaff", email = "jadonw@gmail.com", role = c("aut", "cre")),
person("Brennan", "Bean", email = "brennan.bean@usu.edu", role = "aut"))
Automatically creates separate regression models for different spatial
regions. The prediction surface is smoothed using a regional border smoothing
method. If regional models are continuous, the resulting prediction surface is
continuous across the spatial dimensions, even at region borders. Methodology
is described in Wagstaff (2021) <https://digitalcommons.usu.edu/etd/8065/>.
Jadon Wagstaff [aut, cre],
Brennan Bean [aut]

Match Regular Expressions with a Nicer 'API'
A small wrapper on 'regexpr' to extract the matches and
captured groups from the match of a regular expression to a character
vector.

Tidy Output from Regular Expression Matching
Wrappers on 'regexpr' and 'gregexpr' to return the match
results in tidy data frames.