c(person(given = "Aleksander",
family = "Dietrichson",
role = c("aut", "cre"),
email = "dietrichson@gmail.com"),
person(given = "Chi Square Laboratories",
role = "cph"),
person(given = "Darko",
family = "Miletic",
role = "ctb"),
person(given = "Pablo",
family = "Pagnone",
role = "ctb"),
person(given = "Alex",
family = "Ondrus",
role = "ctb")
)
DBI, dplyr, ggplot2, tidytext, ggwordcloud, utils, stringr,
rlang, scales, RMariaDB, glue, config, anytime, cli, lifecycle,
RSQLite, usethis, RPostgres
Aleksander Dietrichson [aut, cre],
Chi Square Laboratories [cph],
Darko Miletic [ctb],
Pablo Pagnone [ctb],
Alex Ondrus [ctb]

Functions and Datasets for the Book by Keon-Woong Moon
"Keon-Woong Moon <cardiomoon@gmail.com> [aut, cre]"
Several analysis-related functions for the book entitled "R
statistics and graph for medical articles" (written in Korean), version 1,
by Keon-Woong Moon with Korean demographic data with several plot
functions.

nortest, survival, sjmisc, purrr, stringr, magrittr
testthat, knitr, ggplot2, ztable, sjlabelled, rmarkdown

nortest, survival, sjmisc, stringr, magrittr, ztable
testthat, knitr, ggplot2, sjlabelled, rmarkdown

nortest, survival, sjmisc, stringr, magrittr, crayon
testthat, knitr, ggplot2, sjlabelled, ztable, rmarkdown

A collection of basic astronomical routines for R based on
"Practical astronomy with your calculator" by Peter
Duffet-Smith.

A collection of basic astronomica}l routines for R based on "Practical astronomy with your calculator" by Peter Duffet-Smith.

Mean Squared Out-of-Sample Error Projection
person("Chris", "Rohlfs", , "car2228@columbia.edu", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-7714-9231"))
Projects mean squared out-of-sample error for a linear regression based upon the methodology developed in Rohlfs (2022) <doi:10.48550/arXiv.2209.01493>.  It consumes as inputs the lm object from an estimated OLS regression (based on the "training sample") and a data.frame of out-of-sample cases (the "test sample") that have non-missing values for the same predictors. The test sample may or may not include data on the outcome variable; if it does, that variable is not used. The aim of the exercise is to project what what mean squared out-of-sample error can be expected given the predictor values supplied in the test sample. Output consists of a list of three elements: the projected mean squared out-of-sample error, the projected out-of-sample R-squared, and a vector of out-of-sample "hat" or "leverage" values, as defined in the paper.