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pcalg (version 0.1-8)

Estimating the skeleton and equivalence class of a DAG

Description

Standard and robust estimation of the skeleton (ugraph) and the equivalence class of a Directed Acyclic Graph (DAG) via the PC-Algorithm. The equivalence class is represented by its (unique) Completetd Partially Directed Acyclic Graph (CPDAG). The function pcSelect implements variable selection techniques. beta.special computes the "causal" effect (see Description).

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Version

Install

install.packages('pcalg')

Monthly Downloads

1,818

Version

0.1-8

License

GPL (>= 2)

Maintainer

Markus Kalisch

Last Published

September 12th, 2024

Functions in pcalg (0.1-8)

Compute Correlation Matrix

udag2pdagRelaxed

Extend a pcAlgo-object containing a skeleton to a PDAG

Compare two graphs in terms of TPR, FPR and TDR

PC-Select: Estimate subgraph around a response variable

Conditional Independence by Fisher's Z-Transformation

Decision Heuristic: Should robust method for PC-algorithm be used?

Compute Structural Hamming Distance (SHD)

Extend a pcAlgo-object containing a skeleton to a PDAG

Computing the correlation graph

PC-Algorithm: Estimate the Underlying Graph (Skeleton) or Equivalence Class (CPDAG) of a DAG

Compute Partial Correlations

Internal Pcalg Functions

Iteration through a list of all combinations of choose(n,k)

Extend a PDAG to a DAG

udag2pdagSpecial

Extend a pcAlgo-object containing a skeleton to a PDAG using different methods if problems occur

Convert a DAG to a CPDAG

Compute set of intervention effects

pcSelect.presel

PC-Select preselection: Estimate subgraph around a response variable using preselection

Generate a Directed Acyclic Graph (DAG) randomly

beta.special.pcObj

Compute set of intervention effects in a fast way

Generate Multivariate Data according to a DAG