poisson_exp_pca: Poisson PCA

Description Usage Arguments Value References

View source: R/poisson.R

Description

Poisson PCA

Usage

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poisson_exp_pca(X, n_comp = 2, n_cycle = 30, n_iter = 30, eps = 1e-04,
  lambda = 0.001, mu0 = NULL)

Arguments

X

The n x p Poisson matrix with samples along rows which we want to decompose using exponential family PCA.

n_comp

How many principal components should we return?

n_cycle

How many times should the iterative optimization pass through across each component?

n_iter

The maximum number of iterations to run the PCA.

eps

The convergence criterion. If the mean change in the scores is less than eps, we return.

lambda

The regularization parameter in the optimization.

mu0

The value to regularize towards.

Value

A list containing the converged values of A and V.

References

Collins, Michael, Sanjoy Dasgupta, and Robert E. Schapire. "A generalization of principal components analysis to the exponential family." Advances in neural information processing systems. 2001.


krisrs1128/expPCA documentation built on May 18, 2017, 11:45 p.m.