exp_fam_deviance: Calculate exponential family deviance
In andland/genSupPCA: Supervised Dimensionality Reduction for Exponential Family Data

Calculates the deviance of data assuming it comes from an exponential family

1	exp_fam_deviance(x, theta, family, weights = 1)

`x`	a vector or matrix of data
`theta`	natural parameters. Must be same dimensions as `x`
`family`	exponential family distribution of data
`weights`	weights of datapoints. Must be a scalar or the same dimensions as the data

andland/genSupPCA documentation built on May 30, 2019, 11:43 a.m.

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