posterior {mfa} | R Documentation

## Calculate the log-posterior during inference

### Description

Calculate the log-posterior during inference

### Usage

    posterior(y, c, k, pst, tau, gamma, theta, eta, chi, w, tau_c, r, alpha, beta,
      theta_tilde, eta_tilde, tau_theta, tau_eta, alpha_chi, beta_chi,
      zero_inflation = FALSE, lambda = NULL)

### Arguments

`y` | Cell-by-gene gene expression matrix
`c` | Factor loading parameter
`k` | Factor loading parameter
`pst` | Pseudotime vector
`tau` | Precision parameter
`gamma` | Branch responsibility parameter
`theta` | Factor loading parameter
`eta` | Factor loading parameter
`chi` | ARD-like precision
`w` | Branch responsibility prior (simplex)
`tau_c` | Hyperparameter
`r` | Hyperparameter
`alpha` | Hyperparamter
`beta` | Hyperparameter
`theta_tilde` | Hyperparameter
`eta_tilde` | Hyperparameter
`tau_theta` | Hyperparameter
`tau_eta` | Hyperparameter
`alpha_chi` | Hyperparameter
`beta_chi` | Hyperparameter
`zero_inflation` | Logical - was zero inflation modelled?
`lambda` | Zero inflation parameter

### Value

The posterior log-likelihood.

[Package mfa version 1.12.0 Index]