Title: Drift Correcting Water Quality Data
person("Andrew", "Shaughnessy", , "andrew.shaughnessy@slu.edu", c("aut", "cre")),
person("Christopher", "Prener", , "chris.prener@slu.edu", c("aut")),
person("Elizabeth", "Hasenmueller", , "elizabeth.hasenmueller@slu.edu", c("aut"))
Description: A tidy implementation of equations that correct for instrumental drift in
continuous water quality monitoring data.  There are many sources of water quality data
including private (ex: YSI instruments) and open source (ex: USGS and NDBC), each of
which are susceptible to errors/inaccuracies due to drift. This package allows the
user to correct their data using one or two standard reference values in a uniform,
reproducible way. The equations implemented are from Hasenmueller (2011)
Imports: dplyr, ggplot2, readr, stringr, rlang, tibble, magrittr, glue
Packaged: 2017-12-17 20:10:26 UTC; andrewshaughnessy

Imports: dplyr, glue, janitor (>= 1.0.0), lubridate, magrittr, readr,
Suggests: covr, knitr, testthat, rmarkdown

Title: Concept Drift and Concept Shift Detection for Predictive Models
Description: Concept drift refers to the change in the data distribution or
in the relationships between variables over time.
'drifter' calculates distances between variable distributions or
variable relations and identifies both types of drift.
calculate_covariate_drift() checks distance between corresponding variables in two datasets,
calculate_residuals_drift() checks distance between residual distributions for two models,
calculate_model_drift() checks distance between partial dependency profiles for two models,
check_drift() executes all checks against drift.
'drifter' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Imports: DALEX, dplyr, tidyr, ingredients

Title: Distinguishing drift and natural selection as causes of
Author: Markku Karhunen & Otso Ovaskainen
Depends: R (>= 2.12.0), MCMCpack, SparseM, corpcor, car
Description: Neutrality test for quantitative traits

Depends: R (>= 2.12.0), MCMCpack, SparseM, corpcor