NEWS
missSBM 1.0.4 (2023-10-24)
missSBM 1.0.3 (2022-08-23)
- Tiny adaptation due to new Matrix version 1.4-2
- fix for HTML5 in documentation, plus various typos
missSBM 1.0.2 (2022-02-01)
- Fix linking problem with new version of nloptR (2.0.0)
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 ([email protected] -> [email protected])
missSBM 0.2.2
- 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 (2019-06-08)
significant changes:
- decent vignette
- faster tests
- many bugs corrected
missSBM 0.1.0-9000
- Added a
NEWS.md file to track changes to the package.