Quantile Regression Monad in R

This repository is for the R implementation of a software monad for Quantile Regression workflows called Quantile Regression Monad (QRMon).

The R-implementation follows the Mathematica QRMon package "MonadicQuantileRegression.m", [AAp1]. The Mathematica QRMon package is extensively documented with "A monad for Quantile Regression workflows", [AA1].

The usage of this R implementation is explained in detail in the vignette "Rapid making of Quantile Regression workflows".

Here is how to install the package:

devtools::install_github("antononcube/QRMon-R")

Here is a workflow (pipeline) example:

qrmon <-
  QRMonUnit( dfTemperatureData ) %>%
  QRMonEchoDataSummary() %>%
  QRMonQuantileRegression( df = 16, degree = 3, probabilities = seq(0.1,0.9,0.2) ) %>%
  QRMonPlot( datePlotQ = TRUE, dateOrigin = "1900-01-01" )

There is a Domain Specific Language (DSL) parser-interpreter implemented in Raku that can be used to generate QRMon code using natural language commands; see [AAr1].