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spfilteR 2.0.0

• allow for unsupervised eigenvector selection in negative binomial models
  • glmFilter() now supports ‘nb’ (for negative binomial) as model type
  • adjustments in summary method and helper functions to handle negative binomial models
  • update tests for negative binomial model
• glmFilter() also provides McFadden’s adjusted pseudo R-squared for the filtered vs. the unfiltered model
• bug fixes
  • bug fix in help pages of MI.local() and MI.vec() functions
  • resolves an error in lmFilter() and glmFilter() occurring when covariates are supplied as data.frame
• assign variable names to output (if provided)
• improve the handling of missingness in MI.vec(), MI.decomp(), and MI.local()
• update tests

spfilteR 1.1.5

• fix minor bug in help pages

spfilteR 1.1.4

• update citation information
• fix: use isTRUE(all.equal()) instead of “==” on numeric vectors

spfilteR 1.1.3

• update tests

spfilteR 1.1.2

• fix broken links
• update citation information

spfilteR 1.1.1

• CRAN resubmission
• improve readability of code
• update author mail address
• include citation

spfilteR 1.1.0.9000

• improve readability of code
• update author mail address
• include citation

spfilteR 1.1.0

• CRAN resubmission
• fix minor bug when checking ‘tol’ in lmFilter() function
• new vignette name
• add new functions
  • MI.local() function to calculate local Moran’s I
  • vp() function for variation partitioning
• update reference to MI.local() in documentation files

spfilteR 1.0.0.9000

• fix minor bug when checking ‘tol’ in lmFilter() function
• new vignette name
• add new functions
  • MI.local() function to calculate local Moran’s I
  • vp() function for variation partitioning
• update reference to MI.local() in documentation files

spfilteR 1.0.0

• include MI.decomp() to decompose Moran’s I
• rename MI.resid()
• prepare for CRAN submission

spfilteR 0.2.0

• lmFilter() and glmFilter() now also support unsupervised eigenvector selection based on the significance of residual autocorrelation

spfilteR 0.1.0

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.
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