gpsimCreate {tigre} | R Documentation

## Create a GPSIM/GPDISIM model.

### Description

creates a model for single input motifs with Gaussian processes.

### Usage

      gpsimCreate(Ngenes, Ntf, times, y,
                  yvar, options, genes=NULL, annotation=NULL)
      gpdisimCreate(Ngenes, Ntf, times, y,
                    yvar, options, genes=NULL, annotation=NULL)

### Arguments

`Ngenes` | number of genes to be modelled in the system.
`Ntf` | number of proteins to be modelled in the system.
`times` | the time points where the data is to be modelled.
`y` | the values of each gene at the different time points.
`yvar` | the variances of each gene at the different time points.
`options` | options structure (optional).
`genes` | names of the probes the model is for
`annotation` | (optional) annotation for the probe names

### Details

These functions are meant to be used through `GPLearn`.

### Value

`model` | model structure containing default parameterisation.

### See Also

`modelExtractParam, modelOptimise, GPLearn`.

### Examples

    ## missing, see GPLearn

[Package tigre version 1.46.0 Index]