spfilteR 2.1.0
- update vignette to include an example of the negative binomial
model
- imrprovement in the console output of function
vp()
- improvements and bug fixes in MI.vec()andMI.decomp():
- correctly handle missing values in each variable separately if
multiple variables are supplied
- check for variable names only inside the function and not in the
global environment
- removal of constant terms supplied to the functions
 
- improve the handling of missingness in MI.resid()
- minor adjustments to helper functions
- update tests
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()andMI.vec()functions
- resolves an error in lmFilter()andglmFilter()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(), andMI.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
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