Estimate parameters

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Description

This function performs iterative conditional modes to obtain maximum a posteriori estimates for β (covariate coefficients), w (latent abundances), and P (the precision matrix).

Usage

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estimate(mfit)

Arguments

mfit

- a MInt model object.

Value

A MInt model object with the following attributes:

optim

List containing optimization details

optim$lambda

Value of the L1 penalty used during optimization

data

List containing the raw data

data$design

File path of the design matrix

data$response

File path of the response matrix

data$fmla

Formula used to model each response in terms of the design variables

data$y

Raw numerical data for the response matrix

data$xd

Design matrix in categorical form

data$x

Design matrix in numerical form

param

List containing parameter estimates

param$beta

p-covariates x o-responses matrix of regression coefficients

param$w

n-samples x o-responses matrix of latent abundances

param$P

o-responses x o-responses precision matrix

Examples

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x <- system.file("extdata", "x.txt", package="MInt");
y <- system.file("extdata", "y.txt", package="MInt");
m <- mint(y,x,fmla = ~feature1 + feature2)
m <- estimate(m)

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