Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
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bootstrap (Package: MInt) : Bootstrap

This function bootstraps a model learned by estimate to obtain confidence intervals on each parameter.
● Data Source: CranContrib
● Keywords:
● Alias: bootstrap
● 0 images

mint (Package: MInt) : Construct MInt object

Constructs a MInt object that maintains the data and parameter estimates for the underlying Poisson-multivariate normal hierarchical model.
● Data Source: CranContrib
● Keywords:
● Alias: mint
● 0 images

estimate (Package: MInt) : Estimate parameters

This function performs iterative conditional modes to obtain maximum a posteriori estimates for β (covariate coefficients), w (latent abundances), and P (the precision matrix).
● Data Source: CranContrib
● Keywords:
● Alias: estimate
● 0 images