model_seq {struct} | R Documentation

## model_seq class

### Description

A class for (ordered) lists of models

### Usage

    model_seq(...)

    ## S4 method for signature 'model_seq,DatasetExperiment'
    model_train(M, D)

    ## S4 method for signature 'model_seq,DatasetExperiment'
    model_predict(M, D)

    ## S4 method for signature 'model_seq,ANY,ANY,ANY'
    x[i]

    ## S4 replacement method for signature 'model_seq,ANY,ANY,ANY'
    x[i] <- value

    ## S4 method for signature 'model_seq'
    models(ML)

    ## S4 replacement method for signature 'model_seq,list'
    models(ML) <- value

    ## S4 method for signature 'model_seq'
    length(x)

    ## S4 method for signature 'model,model_seq'
    e1 + e2

    ## S4 method for signature 'model_seq,model'
    e1 + e2

    ## S4 method for signature 'model,model'
    e1 + e2

    ## S4 method for signature 'model_seq'
    predicted(M)

    ## S4 method for signature 'model_seq,DatasetExperiment'
    model_apply(M, D)

### Arguments

`...` | named slots and their values.
`M` | a model object
`D` | a dataset object
`x` | a model_seq object
`i` | index
`value` | value
`ML` | a model_seq object
`e1` | a model or model_seq object
`e2` | a model or model_seq object

### Value

model sequence

model sequence

model at the given index in the sequence

model sequence with the model at index i replaced

a list of models in the sequence

a model sequence containing the input models

the number of models in the sequence

a model sequence with the additional model appended to the front of the sequence

a model sequence with the additional model appended to the end of the sequence

a model sequence

the predicted output of the last model in the sequence

### Examples

    MS = model_seq()
    MS = model() + model()
    MS = example_model() + example_model()
    MS = model_train(MS,DatasetExperiment())
    D = DatasetExperiment()
    MS = example_model() + example_model()
    MS = model_train(MS,D)
    MS = model_predict(MS,D)
    MS = model() + model()
    MS[2]

    MS = model() + model()
    MS[3] = model()

    MS = model() + model()
    L = models(MS)

    MS = model_seq()
    L = list(model(),model())
    models(MS) = L

    MS = model() + model()
    length(MS) # 2

    MS = model() + model()
    M = model()
    MS = M + MS

    MS = model() + model()
    M = model()
    MS = MS + M

    MS = model() + model()

    D = DatasetExperiment()
    M = example_model()
    M = model_train(M,D)
    M = model_predict(M,D)
    p = predicted(M)
    D = DatasetExperiment()
    MS = example_model() + example_model()
    MS = model_apply(MS,D)

[Package struct version 0.99.9 Index]