missSBM 1.0.2

• Fix linking problem with new version of nloptR (2.0.0)
• Reference the JSS paper

missSBM 1.0.1 [2021-06-04]

• less conservative tests to avoid random failure in CRAN checks
• tiny improvements in partlyObservedNetwork (less storage)

missSBM 1.0.0 [2021-05-25]

• now rely on future_lapply for parallel computing (plan to be set by the user)
• faster model exploration (used to be called ‘smoothing’), now integrated by default in estimateMissSBM
• Use sparse Matrices to encode 0 and NAs
• complete rewriting of optimization routines (E and M steps) with C++ armadillo routines
• Better initialization and embedded C++ kmeans implementation
• important bug fix in MAR case
• bug fix in inference on covariates
• bug fixed in blockDyad-sampling
• missSBM::SimpleSBM_fit_missSBM now inherits from from sbm::SimpleSBM rather than sbm::SimpleSBM_fit
• change field ‘\(netMatrix' to '\)networkData’ to comply with new interface in sbm
• defunct functions estimate, sample and simulate are no longer supported

missSBM 0.3.0 [2020-11-18]

• changing interface after suggestion from JSS reviewers
• updated documentation
• interfacing with package sbm
  • change estimate to estimateMissSBM
  • change sample to observedNetwork
  • use sbm::sampleSimpleSBM instead of missSBM::simulate
  • export less R6 classes for simplification (internal use only)
• some bug fixes
• updated maintainer (julien.chiquet@inra.fr -> julien.chiquet@inrae.fr)

missSBM 0.2.2 [2020-09-30]

• unexporting sampledNetwork, only use internally
• merging prepare_data with estimate
• enhanced documentation
• moving ownership to großBM

missSBM 0.2.1 [2019-09-16]

• added S3 methods for missSBM_fit, SBM_fit

missSBM 0.2.0 [2019-06-06]

significant changes:

• decent vignette
• faster tests
• many bugs corrected

missSBM 0.1.0-9000 [2019-02-26]

• Added a NEWS.md file to track changes to the package.