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Computes the effective range of a smoothing matrix, which is a measure of the distance to which smoothing occurs. This is motivated by the application of spatial splines for adjusting for unmeasured spatial confounding in regression models, but the calculation of effective range can be applied to smoothing matrices in other contexts. For algorithmic details, see Rainey and Keller (2024) "spconfShiny: an R Shiny application..." <doi:10.1371/journal.pone.0311440> and Keller and Szpiro (2020) "Selecting a Scale for Spatial Confounding Adjustment" <doi:10.1111/rssa.12556>.
Version: | 1.0.1 |
Depends: | R (≥ 3.5) |
Imports: | flexclust, mgcv |
Suggests: | splines, testthat (≥ 2.1.0) |
Published: | 2024-11-03 |
DOI: | 10.32614/CRAN.package.spconf |
Author: | Kayleigh Keller [aut, cre], Maddie Rainey [aut] |
Maintainer: | Kayleigh Keller <kayleigh.keller at colostate.edu> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | spconf results |
Reference manual: | spconf.pdf |
Package source: | spconf_1.0.1.tar.gz |
Windows binaries: | r-devel: spconf_1.0.1.zip, r-release: spconf_1.0.1.zip, r-oldrel: spconf_1.0.1.zip |
macOS binaries: | r-release (arm64): spconf_1.0.1.tgz, r-oldrel (arm64): spconf_1.0.1.tgz, r-release (x86_64): spconf_1.0.1.tgz, r-oldrel (x86_64): spconf_1.0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.