LinkingTo: Rcpp, RcppArmadillo (>= 0.7.500.0.0), stochvol

person("Gregor", "Kastner", role = c("aut", "cre"), email = "gregor.kastner@wu.ac.at", comment = c(ORCID = "0000-0002-8237-8271")),
Suggests: LSD (>= 4.0-0), coda (>= 0.19-2), knitr, RColorBrewer

email = "gregor.kastner@wu.ac.at", comment = c(ORCID = "0000-0002-8237-8271"))
estimation of latent factor stochastic volatility models with
on the factor loading matrix <doi:10.1016/j.jeconom.2018.11.007>.
Author: Gregor Kastner [aut, cre] (<https://orcid.org/0000-0002-8237-8271>)

person("Darjus", "Hosszejni", role = c("ctb"), email = "darjus.hosszejni@wu.ac.at", comment = c(ORCID = "0000-0002-3803-691X")),
person("Luis", "Gruber", role = c("ctb"), email = "luis.gruber@aau.at", comment = c(ORCID = "0000-0002-2399-738X")))
Packaged: 2021-11-26 17:00:27 UTC; grkastner

Packaged: 2021-12-07 08:16:06 UTC; grkastner

Description: Function factories are functions that make functions. They can be
confusing to construct. Straightforward techniques can produce functions
that are fragile or hard to understand. While more robust techniques exist
to construct function factories, those techniques can be confusing. This
package is designed to make it easier to construct function factories.
Suggests: testthat (>= 2.1.0), covr, roxygen2, knitr, rmarkdown,

person("Analytics API Support", email = "analytics.api.support@factset.com", role = "aut"),
person("Akshay Sheth", email = "asheth@factset.com", role = "cre"))
Description: Allow clients to fetch 'analytics' through API for Portfolio
'Analytics'('PA'), Style Performance Risk('SPAR') and 'Vault' products of
for more information on the usage of package. Visit
<https://developer.factset.com/> for more information on products.
Imports: jsonlite, httr, R6, caTools, rlang
Packaged: 2020-01-23 11:57:58 UTC; spasumarthi

Description: Generates 'RProtobuf' classes for 'FactSet' 'STACH' tabular
format which represents complex multi-dimensional array of data. These
classes help in the 'serialization' and 'deserialization' of 'STACH'
formatted data. See 'GitHub' repository documentation for more