postpi_der: postpi_der function provides the corrected inference result...
In SiruoWang/IAP: What the Package Does (One Line, Title Case)

Description Usage Arguments Value Examples

View source: R/postpi_der.R

This function is required to take in two data sets (i.e. testing set and validation set), names for observed and predicted continuous outcomes, and an inference formula. The function relates continuous observed and predicted outcomes in the testing set and quantify biases and then corrects the inference results in the validation set based on the input inference formula

1	postpi_der(relation_dat, yobs, ypred, valid_dat, inf_formula)

`relation_dat`	testing set that contains observed outcomes and predicted outcomes (continuous data) or probabilities of predicted outcomes (categorical data)
`yobs`	name of the continuous observed outcome
`ypred`	name of the continuous predicted outcome
`valid_dat`	validation set that contains predicted outcomes and covariates
`inf_formula`	inference formula for fitting predicted outcomes ~ covariates, eg. yp ~ x1

tidytable a tidy table for inference results. It contains conlumns: term, estimate, std.error, statistic, p.value

data(RINdata,package="postpi")

testing    <- RINdata[1:2000,]
validation <- RINdata[2001:nrow(RINdata),]

relation_dat <- data.frame(actual = testing$actual, pred = testing$predictions)
inf_results  <- postpi_der(relation_dat, actual, pred, validation, predictions ~ region_1)