title: "Call Julia code from R" output: htmldocument: keepmd: true –-

Calling from R and/or Python

Knockoffs.jl can be called directly from R or Python via the packages

• knockoffsr: https://github.com/biona001/knockoffsr
• knockoffspy: https://github.com/biona001/knockoffspy

The name space is setup so that standard syntax of Julia translates directly over to the R/Python environment. There are 3 things to keep in mind:

• All Knockoffs.jl commands are prefaced by ko$ (in R) or ko. (in python)
• For R users, all commands with a ! are replaced with _bang, for example solve_s! becomes solve_s_bang.
• All Knockoffs.jl functions that require a Symmetric matrix as inputs now accepts a regular matrix. However, for hc_partition_groups and id_partition_groups, one must provide an extra argument isCovariance to indicate whether the input data should be treated as a design matrix or a covariance matrix.

The first 2 points follows the practice of diffeqr.