| predict.textmodel_affinity {quanteda.textmodels} | R Documentation |
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.
## 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, ...)
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 |
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.