find.best.tau

How many candidates to examine. Defaults to 6000.

num.tau.candidates

How many candidates to keep. Defaults to num.cores.

num.tau.to.keep

Number of cores to run on. Defaults to default.num.cores()

num.cores

Find best tau to initialise chains with by sampling tau from the prior
and using empirical Bayes parameter estimates for the other parameters.

Implements the DeLorean model to estimate pseudotimes for
    single cell expression data. The DeLorean model uses a Gaussian process
    latent variable model to model uncertainty in the capture time of
    cross-sectional data.

find.best.tau: Find best tau to initialise chains with by sampling tau from the prior and using empirical Bayes parameter estimates for the other parameters.

Description

Usage

Arguments