posterior: Calculate the log-posterior during inference

Description Usage Arguments Value

View source: R/mfa.R

Description

Calculate the log-posterior during inference

Usage

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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.


mfa documentation built on Nov. 1, 2018, 4:23 a.m.