Iterative Proportional Fitting Algorithms for Nested Structures
c(
person(
given = "Kirill",
family = "Müller",
role = c("aut", "cph"),
comment = "Creator of the package"
),
person(
given = "Kay W.",
family = "Axhausen",
role = "ths",
comment = "Advisor of Kirill Müller"
),
person(
given = "Amarin",
family = "Siripanich",
role = c("aut", "cre"),
email = "amarin.siri@gmail.com",
comment = "Contributed `ml_replicate()`"
),
person(
given = "Taha H.",
family = "Rashidi",
role = "ths",
comment = "Advisor of Amarin Siripanich"
)
)
The Iterative Proportional Fitting (IPF) algorithm operates on count data.
This package offers implementations for several algorithms that extend this to
nested structures: 'parent' and 'child' items for both of which constraints can be provided.
The fitting algorithms include Iterative Proportional Updating <https://trid.trb.org/view/881554>,
Hierarchical IPF <doi:10.3929/ethz-a-006620748>, Entropy Optimization <https://trid.trb.org/view/881144>,
and Generalized Raking <doi:10.2307/2290793>. Additionally, a number of replication methods
is also provided such as 'Truncate, replicate, sample' <doi:10.1016/j.compenvurbsys.2013.03.004>.
BB, dplyr, hms, kimisc, Matrix, plyr, tibble, forcats, rlang,
utils, wrswoR, lifecycle
covr, testthat, MASS, sampling, XML, waldo
Kirill Müller [aut, cph] (Creator of the package),
Kay W. Axhausen [ths] (Advisor of Kirill Müller),
Amarin Siripanich [aut, cre] (Contributed `ml_replicate()`),
Taha H. Rashidi [ths] (Advisor of Amarin Siripanich)

covr, testthat (>= 3.0.0), MASS, sampling, XML, waldo

c(
person("Matei", "Zaharia", email = "matei@databricks.com", role = c("aut", "cre")),
person("Javier", "Luraschi", email = "javier@rstudio.com", role = c("aut")),
person("Kevin", "Kuo", role = c("aut"), email = "kevin.kuo@rstudio.com",
comment = c(ORCID = "0000-0001-7803-7901")),
person(family = "RStudio", role = c("cph"))
)
R interface to 'MLflow', open source platform for the complete machine
learning life cycle, see <https://mlflow.org/>. This package supports installing
'MLflow', tracking experiments, creating and running projects, and saving and
serving models.
aws.s3, forge, fs, git2r, httpuv, httr, jsonlite, openssl,
processx, reticulate, packrat, purrr, swagger, withr, xml2,
yaml, pryr, rlang (>= 0.2.0)
Matei Zaharia [aut, cre],
Javier Luraschi [aut],
Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>),
RStudio [cph]