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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.