Showing 2 of total 2 results (show query)
paytonjjones
networktree:Recursive Partitioning of Network Models
Network trees recursively partition the data with respect to covariates. Two network tree algorithms are available: model-based trees based on a multivariate normal model and nonparametric trees based on covariance structures. After partitioning, correlation-based networks (psychometric networks) can be fit on the partitioned data. For details see Jones, Mair, Simon, & Zeileis (2020) <doi:10.1007/s11336-020-09731-4>.
Maintained by Payton Jones. Last updated 3 years ago.
network-analysispsychometricstree-models
13 stars 3.85 score 11 scripts
cran
deal:Learning Bayesian Networks with Mixed Variables
Bayesian networks with continuous and/or discrete variables can be learned and compared from data. The method is described in Boettcher and Dethlefsen (2003), <doi:10.18637/jss.v008.i20>.
Maintained by Claus Dethlefsen. Last updated 2 years ago.
2.70 score