Allow clients to convert 'FactSet' 'STACH' formatted data to simpler
tabular formats in the form of data frames. This package also provides helper
methods to extract the meta data from 'FactSet' 'STACH' formatted
data. See documentation on the 'GitHub' repository for more information.

thin wrapper for the Factual.com server API
Per the Factual.com website, "Factual is a platform where
anyone can share and mash open, living data on any subject."
The data is in the form of tables and is accessible via REST
API.  The factualR package is a thin wrapper around the
Factual.com API, to make it even easier for people working with
R to explore Factual.com data sets.

c(
person("Somak", "Dutta", , "somakd@iastate.edu", c("aut", "cre")),
person("Fan", "Dai", , "fd43@iastate.edu", "aut"),
person("Ranjan", "Maitra", , "maitra@iastate.edu", "ctb")
)
Compute maximum likelihood estimators of parameters in a Gaussian factor model using
the the matrix-free methodology described in Dai et al. (2019) <doi:10.1080/10618600.2019.1704296>.
In contrast to the factanal() function from 'stats' package, fad() can handle high-dimensional datasets where
number of variables exceed the sample size and is also substantially faster than the EM algorithms.
Somak Dutta [aut, cre],
Fan Dai [aut],
Ranjan Maitra [ctb]

Compute maximum likelihood estimators of parameters in a Gaussian factor model using
the the matrix-free methodology described in Dai et al. (2020) <doi:10.1080/10618600.2019.1704296>.
In contrast to the factanal() function from 'stats' package, fad() can handle high-dimensional datasets where
number of variables exceed the sample size and is also substantially faster than the EM algorithms.

File Abstraction Interface Layer (FAIL) mimicking a key-value
store
More comfortable interface to work with a directory of
RData files
'helper.R' 'methods.R' 'zzz.R' 'cache.R' 'fail.R'

'helper.R' 'methods.R' 'zzz.R' 'cache.R' 'fail.R' 'worker.R'

More comfortable interface to work with a directory of R data or
source files
'helper.R' 'methods.R' 'zzz.R' 'cache.R' 'fail.R' 'worker.R'
'sail.R' 'backends.R' 'constructor.R'