predict.tridim_transformation: Computes posterior samples for the posterior predictive...

In TriDimRegression: Bayesian Statistics for 2D/3D Transformations

Computes posterior samples for the posterior predictive distribution.

Description

Predicted values based on the bi/tridimensional regression model object.

Usage

## S3 method for class 'tridim_transformation'
predict(object, newdata = NULL, summary = TRUE, probs = NULL, ...)

Arguments

object	An object of class tridim_transformation
newdata	An optional two column data frame with independent variables. If omitted, the fitted values are used.
summary	Whether summary statistics should be returned instead of raw sample values. Defaults to TRUE
probs	The percentiles used to compute summary, defaults to NULL (no CI).
...	Unused

Value

If summary=FALSE, a numeric matrix iterationsN x observationsN x variablesN. If summary=TRUE, a data.frame with columns "dvindex" with mean for each dependent variable plus optional quantiles columns with names "dvindex_quantile".

See Also

fit_transformation

Examples

euc2 <- fit_transformation(depV1+depV2~indepV1+indepV2,
  NakayaData, transformation = 'euclidean')

# prediction summary
predictions <- predict(euc2)

# full posterior prediction samples
predictions <- predict(euc2, summary=FALSE)

TriDimRegression documentation built on Sept. 13, 2023, 5:07 p.m.