estimate.hyper

Noise s.d. in temporal dimension, that is prior s.d. for tau

sigma.tau

Length scale for stationary GP covariance function.
Defaults to the range of the observed capture times.

length.scale

The model's name:
<ul><li>'simplest-model': The simplest model (does not estimate the gene
    means).</li><li>'simple-model': Like 'simplest-model' but estimates the gene
    means.</li><li>'lowrank': Low rank approximation to the 'simplest-model'.</li><</ul>

model.name

Estimate hyperparameters for model using empirical Bayes.

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.

estimate.hyper: Estimate hyperparameters for model using empirical Bayes.

Description

Usage

Arguments