Issues
- 4
Issues with next version of ggplot2
#42 opened by thomasp85 - 1
- 0
Smarter smoothing process
#40 opened by jchiquet - 0
Complete the test for network sampling
#12 opened by jchiquet - 2
- 1
add snowball sampling
#30 opened by jchiquet - 0
Bug when defining an SBM object
#39 opened by Demiperimetre - 0
- 0
add a summary S3 methods for sampledNetwork
#36 opened by jchiquet - 0
add S3 methods summary and coef to SBM-fit Class
#37 opened by jchiquet - 0
use formula to specify our model
#10 opened by jchiquet - 49
Issues with missSBM::smooth
#33 opened by TabouyT - 0
Documentation
#5 opened by jchiquet - 0
- 6
Covariates for network / node sampling
#35 opened by Demiperimetre - 1
Estimation covariate effect
#34 opened by Demiperimetre - 7
- 0
ICL comparisons
#32 opened by Demiperimetre - 2
sampledNetwork object should contain all info related to network (including covariates stuff)
#31 opened by jchiquet - 9
Handle covariates
#1 opened by jchiquet - 5
Symmetric adj matrices?
#27 opened by Demiperimetre - 0
Bug: smooth()
#29 opened by TabouyT - 5
Bug: Smooth()
#28 opened by TabouyT - 6
Bug: Forward smoothing
#24 opened by TabouyT - 1
Add unit tests for everything
#2 opened by jchiquet - 0
Go parallel
#7 opened by jchiquet - 3
Bug : Warnings smoothing
#25 opened by TabouyT - 0
- 1
SBM_fit_covariates only needs covarArray
#20 opened by jchiquet - 0
- 2
Initial imputation in missSBM-fit is probably not adapted to cases with covariates
#22 opened by jchiquet - 0
sampledNetwork objects should only contains matrix of covariates, not covarArray
#16 opened by jchiquet - 1
- 1
- 0
- 2
- 0
- 0
- 2
Code coverage
#3 opened by jchiquet - 0
Export less
#6 opened by jchiquet - 0
Task: Add a class for fitting dyad and node sampling in the presence of covariates
#14 opened by jchiquet - 3
TASK: for testing network samplings, we need the theoretical expected sampling rate
#4 opened by jchiquet