Loop analysis makes qualitative predictions of variable change in a system of causally interdependent variables, where "qualitative" means sign only (i.e. increases, decreases, non change, and ambiguous). This implementation includes output support for graphs in .dot file format for use with visualization software such as graphviz (graphviz.org). 'LoopAnalyst' provides tools for the construction and output of community matrices, computation and output of community effect matrices, tables of correlations, adjoint, absolute feedback, weighted feedback and weighted prediction matrices, change in life expectancy matrices, and feedback, path and loop enumeration tools.
|Author||Alexis Dinno <email@example.com>|
|Date of publication||2015-07-08 10:14:04|
|Maintainer||Alexis Dinno <firstname.lastname@example.org>|
cem.corr: Compute the Tables of Correlations for a Community Effect...
cem.levins: Community Effect Matrix For A Four-Variable Trophic Model
cm.dambacher: A Ten-Variable Trophic Model Of Danish Shallow Lakes
cm.DLR: Model of Two Mosquito Life Stages With Predation and...
cm.levins: Model of A Resource, An Herbivore, And Two Predators
enumerate.loops: Enumerates all Loops in a (-1, 0, 1) Matrix
enumerate.paths: Enumerates all Paths from i to j in a Community Matrix
feedback: Feedback of a Partially Specified System
graph.cem: Graph a Community Effect Matrix
graph.cm: Graph a Community Matrix
make.adjoint: Compute the Adjoint of the Negative Community Matrix
make.cem: Compute the Community Effect Matrix
make.clem: Compute the Change in Life Expectancy Matrix
make.cm: Interactively Make a Community Matrix
make.T: Compute the Absolute Feedback Matrix of a Community Matrix
make.wfm: Compute the Weighted Feedback Matrix
out.cm: Output a Community Matrix or Community Effect Matrix in...
save.cm: Save a Community Matrix
submatrix: A Five-Variable Sub-Matrix of the First Five Variables of...
validate.cem: Validate a Community Effect Matrix
validate.cm: Validate a Community Matrix
weighted.predictions: Compute the Matrix of Weighted Predictions