regression: Simple linear regression
In ZIBBSeqDiscovery: Zero-Inflated Beta-Binomial Modeling of Microbiome Count Data

Use simple linear regression to find the initial value of betas in free approach, where beta are the effects/coefficients for the count model.

1	regression(y, x)

`y`	The response vector.
`x`	The design matrix (n by p, p is the number of covariates) for the count model (e.g., beta-binomial), and intercept is included.

`betahat`	Initial values for beta estimation matrix (p by m, p is the number of involved covariates and m is the number of OTUs).
`se`	Standard errors for the estimated betas.

Tao Hu, Yihui Zhou

ZIBBSeqDiscovery documentation built on May 2, 2019, 4:21 a.m.