missSBM 1.0.4 (2023-10-19)
missSBM 1.0.3
- Tiny adaptation due to new Matrix version 1.4-2
- fix for HTML5 in documentation, plus various typos
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.