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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()
and
MI.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()
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
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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