Peijian Shi, Peter Ridland, David A. Ratkowsky
Calculates the RMS intrinsic and parameter-effects curvatures of a nonlinear regression model.

Peijian Shi, Peter Ridland, David A. Ratkowsky, Yang Li

c(person(given="Peijian", family="Shi", email="pjshi@njfu.edu.cn", role=c("aut", "cre")),
person(given=c("Peter M."), family="Ridland", email="p.ridland@unimelb.edu.au", role=c("aut")),
person(given=c("David A."), family="Ratkowsky", email="d.ratkowsky@utas.edu.au", role=c("aut")),
person(given=c("Yang"), family="Li", email="yangli@fau.edu", role=c("aut")))
Peijian Shi [aut, cre],
Peter M. Ridland [aut],
David A. Ratkowsky [aut],
Yang Li [aut]
Calculates the RMS intrinsic and parameter-effects curvatures of a nonlinear regression model. The curvatures are global measures of assessing whether a model/data set combination is close-to-linear or not. See Bates and Watts (1980) <doi:10.1002/9780470316757> and Ratkowsky and Reddy (2017) <doi:10.1093/aesa/saw098> for details.

Data from the Integrated Post-Secondary Education Data System
c(
person("Aushanae", "Haller", , "aushanaenhaller@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-2090-1952")),
person("Alejandra", "Munoz", , "amunozgarcia@smith.edu", role = "aut")
)
Contains data on Post-Secondary Institution Statistics in 2020 <https://nces.ed.gov/ipeds/use-the-data>. The package allows easy access to a wide variety of information regarding Post-secondary Institutions, its students, faculty, and their demographics, financial aid, educational and recreational offerings, and completions. This package can be used by students, college counselors, or involved parents interested in pursuing higher education, considering their options, and securing admission into their school of choice.
knitr, rmarkdown, purrr, ggplot2, testthat (>= 3.0.0)
Aushanae Haller [aut, cre] (<https://orcid.org/0000-0002-2090-1952>),
Alejandra Munoz [aut]

Transforms Institutional Data into Text Files for IPEDS
Automated Import/Upload
c(
person(given = "Alison", family = "Lanski",
role = c("aut", "cre"),
email = "alanski@nd.edu"),
person("Shiloh", "Fling",
role = c("aut"),
email = "shilohfling@gmail.com"))
Starting from user-supplied institutional data, these scripts
transform, aggregate, and reshape the information to produce
key-value pair data files that are able to be uploaded to IPEDS (Integrated Postsecondary Education Data System)
through their submission portal <https://surveys.nces.ed.gov/ipeds/>. Starting data specifications can be found in the vignettes.
Final files are saved locally to a location of the user's choice.
User-friendly readable files can also be produced for purposes of data review and validation.
Because IPEDS requirements may change from year to year, having
the most recent version of this package is highly recommended.
Old versions can be found as GitHub branches. The package can
also be used to convert any correctly-prepared data into a
key-value pair format for any survey (IPEDS or non-IPEDS).
dplyr, lubridate, magrittr, purrr, rlang, stringr, svDialogs,
tidyr (>= 1.0.0), utils
knitr, rmarkdown, kableExtra, testthat (>= 3.0.0)
Alison Lanski [aut, cre],
Shiloh Fling [aut]