Major release. Architecture rebuilt for speed, stability, and cleaner workflows. Recommend all users upgrade.
missoNet() and
cv.missoNet().beta.pen.factor and theta.pen.factor, enabling
exclusion of predictors or structured sparsity patterns.relax.net option for de-biased network
estimation: refits the active edge set without L1 penalties to
reduce bias in the precision matrix.plot() for
publication-quality output.missoNet()
and cv.missoNet(); arguments and return values documented
consistently.Inf propagation in preprocessing.Compatibility: Minor API changes; refined defaults. See
?missoNet,?cv.missoNet.
glmnet dependency.