GrossSBM / missSBM

An R package for adjusting Stochastic Block Models from networks data sampled under various missing data conditions

http://grosssbm.github.io/missSBM

GrossSBM/missSBM Issues

Issues with next version of ggplot2
Closed 3 years ago4
SetModel does not work for the model with greatest index
Closed 3 years ago1
Smarter smoothing process
Updated 4 years ago
Complete the test for network sampling
Closed 4 years ago
Vignette
Closed 4 years ago2
add snowball sampling
Closed 4 years ago1
Bug when defining an SBM object
Closed 4 years ago
add S3 methods for missSBM-fit (in particular, predict and summary)
Closed 5 years ago
add a summary S3 methods for sampledNetwork
Closed 5 years ago
add S3 methods summary and coef to SBM-fit Class
Closed 5 years ago
use formula to specify our model
Closed 5 years ago
Issues with missSBM::smooth
Closed 5 years ago49
Documentation
Closed 5 years ago
MAR case: perform optimization only on observed values
Updated 5 years ago
Covariates for network / node sampling
Closed 5 years ago6
Estimation covariate effect
Closed 5 years ago1
Find a small network data set to illustrate the package
Closed 5 years ago7
ICL comparisons
Closed 5 years ago
sampledNetwork object should contain all info related to network (including covariates stuff)
Closed 5 years ago2
Handle covariates
Closed 5 years ago9
Symmetric adj matrices?
Closed 5 years ago5
Bug: smooth()
Closed 5 years ago
Bug: Smooth()
Closed 5 years ago5
Bug: Forward smoothing
Closed 5 years ago6
Add unit tests for everything
Closed 5 years ago1
Go parallel
Closed 5 years ago
Bug : Warnings smoothing
Closed 5 years ago3
Add a class to manage a collection of (missing)SBM_fit
Closed 5 years ago
SBM_fit_covariates only needs covarArray
Closed 5 years ago1
bug: bad estimation of glm coefficients in missSBM
Closed 5 years ago
Initial imputation in missSBM-fit is probably not adapted to cases with covariates
Closed 5 years ago2
sampledNetwork objects should only contains matrix of covariates, not covarArray
Closed 5 years ago
neither 'samplingSBM' nor ''inferSBM" are not good function names
Closed 5 years ago1
Class networkSamplingCovariates is not well defined
Closed 5 years ago1
Bug: internal clustering init_clustering take a matrix of covariates
Closed 5 years ago
How to fit blockmodels on a fix (given) number of cluster?
Closed 5 years ago2
Define a S3 class with basic methods to manipulate the output of inferSBM
Closed 5 years ago
Add basic show/print method for all R6 classes
Closed 5 years ago
Code coverage
Closed 5 years ago2
Export less
Closed 5 years ago
Task: Add a class for fitting dyad and node sampling in the presence of covariates
Closed 5 years ago
TASK: for testing network samplings, we need the theoretical expected sampling rate
Closed 5 years ago3