computeDiagonalization: Computes the matrix Delta Sigma_{c,j} resulting from the...
In christinaheinze/backShift: Learning Causal Cyclic Graphs from Unknown Shift Interventions
Description
Computes the matrix Δ Σ_{c,j} resulting from the joint diagonalization
for a given environment (cf. Eq.(7) in the paper).
If the joint diagonalization was successful the matrix should
be diagonal for all environments $j$.
Usage
1
computeDiagonalization(estConnectivity, X, env, whichEnv, main = NULL)
Arguments
estConnectivity
Estimate for connectivity matrix returned by backShift.
X
Data matrix
env
Indicator of the experiment or the intervention type an
observation belongs to (a numeric vector of length n).
whichEnv
Indicator for the environment for which the matrix ΔΣ_{c,j}$ should be computed.
main
Optional title for plot; defaults to paste("Env.", whichEnv)
christinaheinze/backShift documentation built on May 13, 2019, 7 p.m.
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Description
Computes the matrix Δ Σ_{c,j} resulting from the joint diagonalization for a given environment (cf. Eq.(7) in the paper). If the joint diagonalization was successful the matrix should be diagonal for all environments $j$.
Usage
1 | computeDiagonalization(estConnectivity, X, env, whichEnv, main = NULL)
|
Arguments
estConnectivity |
Estimate for connectivity matrix returned by |
X |
Data matrix |
env |
Indicator of the experiment or the intervention type an observation belongs to (a numeric vector of length n). |
whichEnv |
Indicator for the environment for which the matrix ΔΣ_{c,j}$ should be computed. |
main |
Optional title for plot; defaults to paste("Env.", whichEnv) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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