NetworkToolbox: rmse – R documentation

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rmse

Root Mean Square Error

Computes the root mean square error (RMSE) of a sparse model to a full model

rmse(base, test)

`base`	Base (or full) model to be evaluated against
`test`	Reduced (or testing) model (e.g., a sparse correlation or covariance matrix)

RMSE value (lower values suggest more similarity between the full and sparse model)

Alexander Christensen <alexpaulchristensen@gmail.com>

A1 <- solve(cov(neoOpen))

## Not run: 
A2 <- LoGo(neoOpen)

root <- rmse(A1, A2)

## End(Not run)

Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis

v1.4.1

GPL (>= 3.0)

Authors

Alexander Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>), Guido Previde Massara [ctb] (<https://orcid.org/0000-0003-0502-2789>)

Initial release

2020-12-07