DMRnet 0.4.0
- Variable selection algorithm
var_sel
added
- GLAMER implemented as a net version respective to its \(\tau\) parameter issue
#57
- Features package load message with citation info
- Fixing a problem with zero-length arrow in CV plots resulting from
sd=0 (problem still remaining in issue
#39 after the
0.3.2.9002
fix)
- Citation update
- Hierarchical clustering based on segmentation of 1D points with
hclust1d package for PDMR and GLAMER
DMRnet 0.3.4
DMRnet 0.3.3
- Updating documentation to reflect that for inference the matrix must
be provided without the intercept column
- Fixing incorrect inference for columns not in
first-factors-then-numerics sequence
- Candidate fix for warnings related to issue
#33
- Setting a default
nlambda
value to 100 in
cv.DMRnet()
(issue
#41)
- Fixing problems when few or no models are available in cross
validation
- Fixing problems when few or no models are available after
grpreg
(issue
#39)
- Refactoring the code to distribute the no-model fixes from gaussian
DMRnet
into binomial family DMRnet
and both
SOSnet
s and GLAMER
s
- Fixing a few other minor long-standing issues in GIC-indexed cross
validation
- Fixing df.1se in GIC-indexed cross validation for binomial
GLAMER
- Fixing incorrect loglik calculation for the first (largest) model in
binomial family, for both
GLAMER
(-Inf
) and
DMRnet
(incorrect)
DMRnet 0.3.2
- Improved readability of a getting-started vignette
- Fixed a bug in model-indexed cross validation related to folds with
different model sizes
- Added df.1se to GIC-indexed cross validation
- Improved CV plots with
df.1se
model
- Improved readability of README on CRAN (issue
#32)
- Welcome message on package load added
DMRnet 0.3.1
Major changes
- GLAMER (Group LAsso MERger) algorithm added
- Rebuild of the existing cross validation routine (models indexed by
model dimension)
- New cross validation routine added (models indexed by GIC) and made
a new default
- Handling of mismatched factor levels restructured
Stability improvements
- Adding pivots in SOSnet for gaussian families
- Adding a
try
-catch
clause to recalculate
QR decomposition for pivoted columns within rank in case of failure
- Adding the regularization in gaussian family in
DMR
direct calls and calls via DMRnet
- fixing NA values resulting in attempting non-penalized regression in
case of non-full rank design matrices
Other improvements
- Fixing how the parameters get passed in
plot
family of
functions
- Returning only non-zero coefficients in
coef
- Fixing
DRMnet
and cross validation in handling data
with a single two-factor column
- Fixing negative Wald statistics in binomial case
- Workaround in GLAMER for cases of
grpreg
not observing a group constraint