uncorassign

<p>Should we just return a list with just the
vector of assignment (<code>"group"</code>)
or a list with the vector of assignments and the vector of latent
variables (<code>"full"</code>)?</p>

return

<p>Group assignment independent of anything.</p>

Generates/modifies RNA-seq data for use in simulations. We provide
a suite of functions that will add a known amount of signal to a real
RNA-seq dataset. The advantage of using this approach over simulating under
a theoretical distribution is that common/annoying aspects of the data
are more preserved, giving a more realistic evaluation of your method.
The main functions are select_counts(), thin_diff(), thin_lib(),
thin_gene(), thin_2group(), thin_all(), and effective_cor(). See
Gerard (2020) <doi:10.1186/s12859-020-3450-9> for details on the
implemented methods.

David Gerard

uncorassign: Group assignment independent of anything.

Description

Usage

Arguments

Value