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