News

Changes in Version 1.2 o New features: - Added support for statistics "bridgeStrength", "bridgeCloseness", "bridgeBetweenness", and "bridgeExpectedInfluence". Thanks to Payton Jones! - The statistics argument in bootnet can now be "all" - Added bootThreshold function to threshold a network based on bootstraps (e.g., bootstrapped interval includes 0) - Added bootInclude function to obtain a network of bootstrap inclusion probabilities - the 'statistics' argument in bootnet now defaults to c("edge","strength","outStrength","inStrength"). This means that closeness and betweenness are no longer stored by default! - corStability will now use all tested statistics by default
o Updates: - The corStability function now accepts statistics written with an upper case first letter - Fixed a bug using default = "mgm" with only one binary variable - IsingFit and IsingSampler defaults now transform -1, 1 data to 0, 1 when computing network, then back when returning results - Included the 'includeDiagonal' argument to bootnet to include storing diagonal entries (self-loops) for directed networks only - Bootnet now copies the library used by the user to the clusters when using nCores > 1. This is important for checkpoint and packrat compatability - corStability now returns NA for incomputable correlations (e.g., due to infinite values) o Experimental: - Added default set "piecewiseIsing" for estimating Ising models while selecting participants on a sum-score (very experimental) - Added default set "SVAR_lavaan" for step-up structural VAR model selection using Lavaan (experimental)

Changes in Version 1.1

• New supported default sets:
  • "cor" - Correlation networks
  • "TMFG" - Triangulated Maximally Filtered Graph
  • "LoGo"- Local/Global Sparse Inverse Covariance Matrix
  • "ggmModSelect" - Unregularized stepwise GGM model selection
  • "graphicalVAR" - LASSO regularized graphical VAR models
• Some changes to mgm default:
  • mgm version >= 1.2 is now required
  • Renamed lev to level
  • Renamed degree to order, now defaults to 2 instead of 3
  • Added binarySign argument. Now chosen by defult.
• Added the 'replicationSimulator' function, which can be used to assess expected replicability of networks
• Many default sets now support the 'principalDirection' argument, which can be used to multiply variables with the sign of the first principal component
• plot method now supports split0 = TRUE, will show how often an edge was 0 and only show CIs of non-zero estimates (faded relative to proportion of times edge was zero).
• Updated the 'genGGM' function to support various different network structures, with thanks to Mark Brandt!
• Added RSPBC and Hybrid centrality, thanks to Alex Christensen
• Added the 'alpha' argument to default set "pcor"
• Added functionality for functions returning multiple graphs
• Added outStrength, inStrength, outExpectedInfluence and inExpectedInfluence
• Fixed a bug reporting the number of non-zero edges in the print methods
• Added 'args' argument to netSimulator
• Fixed a bug in which fun is not usuable in bootnet()
• Added lambda.min.ratio argument to some estimators. Now defaults to 0.01 for default = "huge"
• bootnet and netSimulator now show a progress bar (thanks to pbapply package)
• plot method now shows bootstrapped mean in addition to sample value
• The 'statistics' argument in bootnet and plot method now accept statistics with a upper case first letter, to be consistent with qgraph
• CIstyle argument can now only be one value, and always defaults to quantiles

Changes in Version 1.0.1

• missing = "fiml" is now supported for EBICglasso and pcor default sets
• Relative importance networks now do not crash when the number of predictors is 0 or 1
• plotting bootnetResults now supports the labels argument
• mgm default now uses matrices to resolve an error with the latest version of mgm
• The plot method of networks estimated using 'estimateNetwork' now uses different defaults than qgraph!
  • cut defaults to NULL
  • theme defaults to "colorblind"
  • parallelEdge defaults to TRUE
  • layout always defaults to "spring" (rather than "circle" for undirected networks)

Changes in Version 1.0.0:

• Implemented the netSimulator function that allows for researchers to investigate sample size requirements and input arguments to estimateNetwork
  • Added genGGM, ggmGenerator, and IsingGenerator functions to be used in netSimulator
• bootnet now stores less results and should have better memory usuage! Thanks to Giulio Costantini!
• Fixed some bugs related to manual parametric bootstrap
• EstimateNetwork now references packages used in a message
• pcor default set now supports the argument 'threshold'
• Fixed a bug where rule argument was not passed in bootnet default set
• Bootnet now supports directed networks
• Relative importance networks now implemented using default = "relimp"
• Updated compatibility with MGM version 1.2.0

Changes in version 0.4:

• estimateNetwork now accepts a custom estimation function using the argument 'fun'
• Reworked default sets as functions!
  • This makes it easier to change common arguments, such as the EBIC tuning parameter
  • See the following functions for details:
    • bootnet_EBICglasso
    • bootnet_IsingFit
• The corStability function now has a greatly improved output
• Default set "IsingLL" has been renamed to "IsingSampler"
• Default set "mgm" is now supported
• labels argument is now supported in difference plots
• Quantile now uses type = 6, this makes CIs slightly wider and therefore the difference test slightly more conservative

Changes in version 0.3: - Eiko Fried joined the author list - Added 'estimateNetwork' function, allowing one to estimate the network structure from within bootnet - The plot method will run qgraph on the estimated network structure - The qgraph function getWmat can now be applied to networks estimated in bootnet. Allowing one to use, e.g., centralityPlot on a network estimated with 'estimateNetwork' - Added 'differenceTest' function to test for significant differences between edge weights and centrality indices - Added 'corStability' to compute the CS-coefficient as described in our paper: - Epskamp, S., Borsboom, D., & Fried, E. I. (2016). Estimating psychological networks and their accuracy: a tutorial paper. arXiv preprint, arXiv:1604.08462. - The plot method now supports 'plot = "difference"', to make plots of significant differences between edge-weights and centralities - New default sets: - "huge" - "adalasso" - 'nCores' argument added to bootnet to use parallel computing - bootnet print methods now print a list of relevant references on the network estimation procedure used - When EBICglasso is used as default set, variables that are made ordinal are now printed only when estimating the first network - Updated CITATION such that citation("bootnet") now references the pre-print - Bootnet now gives a message on loading that it is BETA software - Added 'statistics' argument to bootnet. Now, distance and length are not stored by default - Several minor bugfixes

Reference manual