pwr: pwr
In TiagoVentura/pwr: pwr: an implementation of the Path-Weighted Regression Model for Networks

pwr estimates the PWR model

1	pwr(net, y, X, bandwidth="cv_pwr")

`net:`	an igraph network object.
`y:`	the dependent variable of the PWR model
`X:`	a matrix of covariates for the model.
`bandwidht:`	the bandwidth for the decay function applied to the connected paths. Default uses the function `pwr_cv` to calculate the optimal bandwidth using leave-one-out cross validation

1 2	l <- pwr(net=net,y=log(V(net)$in_degree+1), X=as.matrix(log(V(net)$out_degree+1)))

TiagoVentura/pwr documentation built on Oct. 26, 2021, 2:13 p.m.

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README.md

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