predict.york: Predict method for York Model Fits

In JENScoding/York: York's regression of X and Y-variables with correlated errors

Description

Predictions from a model fitted by york.

Usage

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

Arguments

object	a fitted object of class inheriting from "york".
newdata	a vector or a dataframe to be used for the prediction. If not specified the original x-values with their respective fitted y-values will be returned.
...	additional arguments affecting the predictions produced.

Value

Returns a list, containing a dataframe with predicted values.

prediction

a dataframe containing either the original x-values or the specified newdata in the first column and the corresponding predicted values in the second column.

Examples

 # Example: York's regression with weight data taken from Pearson (1901):
 x <- c(0.0, 0.9, 1.8, 2.6, 3.3, 4.4, 5.2, 6.1, 6.5, 7.4)
 y <- c(5.9, 5.4, 4.4, 4.6, 3.5, 3.7, 2.8, 2.8, 2.4, 1.5)
 weights_x <- c(1e+3, 1e+3, 5e+2, 8e+2, 2e+2, 8e+1, 6e+1, 2e+1, 1.8, 1)
 weights_y <- c(1, 1.8, 4, 8, 20, 20, 70, 70, 1e+2, 5e+2)

 # fit york model
 york_fit <- york(x, y, weights_x, weights_y, r_xy_errors = 0)

 # values for prediction
 new <- c(2,3,4,3.6)
 predict(york_fit, new)

JENScoding/York documentation built on Oct. 30, 2019, 7:29 p.m.