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spmodel v0.5.0
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@michaeldumelle michaeldumelle released this 25 Oct 23:33
· 104 commits to main since this release
v0.5.0
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spmodel 0.5.0

Minor updates

  • Predictions can now be made for prediction locations whose random effect levels are not present in the observed data
    • When this occurs, the random-effect covariance between the observed data and these prediction locations is assumed to be zero.
  • The default for local = TRUE in splm() and spglm() now uses the kmeans assignment method with group sizes approximately equal to 100.
    • Previously, the random assignment method was used with group sizes approximately equal to 50.
  • The default for local = TRUE in predict() and augment() now uses 100 local neighbors.
    • Previously, 50 local neighbors were used.
  • Moved the "A Detailed Guide to spmodel" and "Technical Details" vignettes to the package website.
  • Added a "Spatial Generalized Linear Models in spmodel" vignette to the package website.
  • Changed name of "An Overview of Basic Features in spmodel" vignette to "An Introduction to spmodel" and changed output type from PDF to HTML.
  • Other minor vignette updates.
  • Minor documentation updates.

Bug fixes

  • Fixed a bug that occurred with prediction for success/failure binomial data (e.g., Bernoulli data) when local in predict() was TRUE.
  • Fixed a bug that could affect simulating data using sprbinom() when the size argument was different from 1.
  • Fixed a bug that could cause local prediction to fail when only one level of a random effect was present in the prediction site's local neighborhood.
  • Fixed a bug that could cause an error when local estimation was used for the "sv-wls" estimation method.
  • Fixed a bug that caused undesirable behavior from tidy() when conf.level was less than zero or greater than one.
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