typeByNetworksSupport: Get the support for each network x type combination from an...
In whoppitt/NBDA: A Package For Implementing Network-Based Diffusion Analysis

Description Usage Arguments Details Value See Also

Calculates the support for network x type of model combination fitted in a set of models fitted using oadaAICtable or tadaAICtable.

1	typeByNetworksSupport(nbdaAICtable)

nbdaAICtable

an object of class oadaAICtable or tadaAICtable.

Network combinations are represented by the set of constraints on the s parameters used to generate the model, using the constraintsVectMatrix argument. e.g. 1:1:1 means all three networks in the data were constrained to have the same effect, 1:2:0 means the first two networks have different effects, whereas the third is constrained to have no effect, and 0:0:0 represents asocial models. For type, models are classified as:

noILVs;
additive: ILV effects on asocial learning only;
multiplicative: all ILVs have same effect on asocial and social learning;
unconstrained: differing effects on asocial and social learning for at least one ILV;
socialEffectsOnly: ILV effects only on social learning;
asocial: no social transmission (all s=0).

array giving the support (total Akaike Weight) and number of models fitted for each network combination.

oadaAICtable, tadaAICtable, typeSupport, typeByNetworksSupport, modelAverageEstimates, variableSupport, unconditionalStdErr.