predictSmooth {tradeSeq} | R Documentation

## predictSmooth

### Description

Get smoothers estimated by `tradeSeq` along a grid. This function does not return fitted values but rather the predicted mean smoother, for a user-defined grid of points.

### Usage

    predictSmooth(models, ...)

    ## S4 method for signature 'SingleCellExperiment'
    predictSmooth(models, gene, nPoints = 100)

    ## S4 method for signature 'list'
    predictSmooth(models, gene, nPoints = 100)

### Arguments

`models` | Either the `SingleCellExperiment` object obtained after running `fitGAM`, or the specific GAM model for the corresponding gene, if working with the list output of `tradeSeq`.
`...` | parameters including:
`gene` | Either a vector of gene names or an integer vector, corresponding to the row(s) of the gene(s).
`nPoints` | The number of points used to create the grid along the smoother for each lineage. Defaults to 100.

### Value

A `matrix` with estimated averages.

### Examples

    data(gamList, package = "tradeSeq")
    predictSmooth(models = gamList, gene = 1)

[Package tradeSeq version 1.1.19 Index]