gpsimCreate: Create a GPSIM/GPDISIM model.

Description Usage Arguments Details Value See Also Examples

View source: R/gpsimLinearFunctions.R

Description

creates a model for single input motifs with Gaussian processes.

Usage

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  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

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## missing, see GPLearn

tigre documentation built on Nov. 8, 2020, 5:32 p.m.