Inferring a trajectory inference using GrandPrix

Will generate a trajectory using GrandPrix.

This method was wrapped inside a container. The original code of this method is available here.

ti_grandprix(n_latent_dims = 2L, n_inducing_points = 40L,
  latent_prior_var = 0.1, latent_var = 0.028, run_environment = NULL)

Arguments

n_latent_dims	integer; (default: `2L`; range: from `1L` to `10L`)
n_inducing_points	integer; (default: `40L`; range: from `10L` to `500L`)
latent_prior_var	numeric; (default: `0.1`; range: from `NULL` to `NULL`)
latent_var	numeric; (default: `0.028`; range: from `NULL` to `NULL`)
run_environment	In which environment to run the method, can be `"docker"` or `"singularity"`.

A TI method wrapper to be used together with infer_trajectory

Ahmed, S., Rattray, M., Boukouvalas, A., 2017. GrandPrix: Scaling up the Bayesian GPLVM for single-cell data.