missSBM 1.0.1 [2021-06-04] 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] 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 ‘netMatrixtonetworkData’ to comply with new interface in sbm
  • defunct functions estimate, sample and simulate are no longer supported

missSBM 0.3.0 [2020-11-18] 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 ( -> )

missSBM 0.2.2 [2020-09-30] Unreleased

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

missSBM 0.2.1 [2019-09-16] 2019-09-16

  • added S3 methods for missSBM_fit, SBM_fit

missSBM 0.2.0 [2019-06-06] 2019-06-08

significant changes:

  • decent vignette
  • faster tests
  • many bugs corrected

missSBM 0.1.0-9000 [2019-02-26] Unreleased

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