R: Post-estimations methods for textmodel_lsa

textmodel_lsa-postestimation {quanteda.textmodels} | R Documentation

## Post-estimations methods for textmodel_lsa

### Description

Post-estimation methods for fitted textmodel_lsa objects.

### Usage

    ## S3 method for class 'textmodel_lsa'
    predict(object, newdata = NULL, ...)

    ## S3 method for class 'textmodel_lsa'
    as.dfm(x)

    ## S3 method for class 'textmodel_lsa'
    coef(object, doc_dim = 1, feat_dim = 1, ...)

    coefficients.textmodel_lsa(object, doc_dim = 1, feat_dim = 1, ...)

### Arguments

`object, x` | previously fitted textmodel_lsa object
`newdata` | new matrix to be transformed into the lsa space
`...` | unused
`doc_dim, feat_dim` | the document and feature dimension scores to be extracted

### Value

`predict()` returns a predicted textmodel_lsa object, projecting the patterns onto new data.

`coef.textmodel_lsa` extracts model coefficients from a fitted textmodel_ca object.

[Package quanteda.textmodels version 0.9.4 Index]