Calculate generalized R-squared, partial R-squared, and partial correlation coefficients for generalized linear models (including quasi models with well defined variance functions).

Calculate generalized R-squared, partial R-squared, and partial correlation coefficients for generalized linear (mixed) models (including quasi models with well defined variance functions).
methods, stats, MASS, lme4, nlme, numDeriv, Matrix

methods, stats, MASS, lme4, nlme, Deriv, Matrix

A comprehensive tool written in R Shiny to explore, manage and update SQLite Databases.
c(
person(
"Vijay", "Barve",
email = "vijay.barve@gmail.com",
role = c("aut"),
comment = c(ORCID = '0000-0002-4852-2567')),
person(
"Thiloshon", "Nagarajah",
email = "thiloshon@gmail.com",
role = c("aut"),
comment = c(ORCID = '0000-0001-8607-7145')),
person(
"Narayani", "Barve",
email = "narayani.ku@gmail.com",
role = c("aut"),
comment = c(ORCID = '0000-0002-7893-8774')),
person(
"Marlon E.", "Cobos",
email = "manubio13@gmail.com",
role = c("aut"),
comment = c(ORCID = '0000-0002-2611-1767')),
person(
"Divyansh", "Chawla",
email = "code.divyansh@gmail.com",
role = c("cre", "aut"))
)
config, golem, shiny, RSQLite, DT, shinyFiles, fs, shinyAce,
shinyjqui, shinydashboard, disk.frame, data.table, magrittr
Vijay Barve [aut] (<https://orcid.org/0000-0002-4852-2567>),
Thiloshon Nagarajah [aut] (<https://orcid.org/0000-0001-8607-7145>),
Narayani Barve [aut] (<https://orcid.org/0000-0002-7893-8774>),
Marlon E. Cobos [aut] (<https://orcid.org/0000-0002-2611-1767>),
Divyansh Chawla [cre, aut]

Client Library for SpatioTemporal Asset Catalog
c(person("Brazil Data Cube Team",
email = "brazildatacube@inpe.br",
role = c("cre", "aut")),
person(given = "National Institute for Space Research (INPE)",
role = c("cph")))
Provides functions to access, search and download spacetime earth
observation data via SpatioTemporal Asset Catalog (STAC). This package
supports the version 0.8.1 or higher of the STAC specification
(<http://stacspec.org>).
Brazil Data Cube Team [cre, aut],
National Institute for Space Research (INPE) [cph]
Brazil Data Cube Team <brazildatacube@inpe.br>