# predict.textmodel_affinity: Prediction for a fitted affinity textmodel In quanteda.textmodels: Scaling Models and Classifiers for Textual Data

## Description

Estimate θ_i for each document, from a fitted textmodel_affinity object.

Other methods below provide standard ways to extract or compute quantities from predicted textmodel_affinity objects.

## Usage

  1 2 3 4 5 6 7 8 9 10 11 ## S3 method for class 'textmodel_affinity' predict(object, newdata = NULL, level = 0.95, ...) ## S3 method for class 'predict.textmodel_affinity' coef(object, ...) ## S3 method for class 'predict.textmodel_affinity' residuals(object, type = c("response", "pearson"), ...) ## S3 method for class 'predict.textmodel_affinity' rstandard(model, ...) 

## Arguments

 object a fitted affinity textmodel newdata dfm on which prediction should be made level probability level for confidence interval width ... unused type see residuals.lm

## Value

predict() returns a list of predicted affinity textmodel quantities.

coef() returns a document \times class matrix of class affinities for each document.

residuals() returns a document-by-feature matrix of residuals. resid() is an alias.

rstandard() is a shortcut to return the pearson residuals.

influence.predict.textmodel_affinity() for methods of computing the influence of particular features from a predicted textmodel_affinity model.