c(person("Øyvind", "Langsrud", role = c("aut", "cre"),
email = "oyl@ssb.no"),
person("Bjørn-Helge", "Mevik", role = c("aut")))
Øyvind Langsrud [aut, cre],
Bjørn-Helge Mevik [aut]
General linear modeling with multiple responses (MANCOVA).  An
overall p-value for each model term is calculated by the 50-50 MANOVA
method, which handles collinear responses.  Rotation testing is used
to compute adjusted single response p-values according to familywise
error rates and false discovery rates.

General linear modeling with multiple responses (MANCOVA). An overall p-value for each model term is calculated by the 50-50 MANOVA method by Langsrud (2002) <doi:10.1111/1467-9884.00320>, which handles collinear responses. Rotation testing, described by Langsrud (2005) <doi:10.1007/s11222-005-4789-5>, is used to compute adjusted single response p-values according to familywise error rates and false discovery rates (FDR). The approach to FDR is described in the appendix of Moen et al. (2005) <doi:10.1128/AEM.71.4.2086-2094.2005>. Unbalanced designs are handled by Type II sums of squares as argued in Langsrud (2003) <doi:10.1023/A:1023260610025>. Furthermore, the Type II philosophy is extended to continuous design variables as described in Langsrud et al. (2007) <doi:10.1080/02664760701594246>. This means that the method is invariant to scale changes and that common pitfalls are avoided.

c(
person("Ryan", "Vinh", email = "rvinh@princeton.edu", role = c("aut", "cre")),
person("Ian", "Fellows", email = "ian@fellstat.com", role = "aut"),
person("Will", "Lowe", email = "wlowe@princeton.edu", role = "ctb"))
A collection of functions that allows users to retrieve
metadata for the Fragile Families challenge via a Web API
(<http://api.metadata.fragilefamilies.princeton.edu>).
Users can select and search metadata for relevant variables by
filtering on different attribute names.
Ryan Vinh [aut, cre],
Ian Fellows [aut],
Will Lowe [ctb]

Stress Test Historical Scenarios with Fully Flexible
Probabilities
person(given = "Bernardo",
family = "Reckziegel",
role = c("aut", "cre", "cph"),
email = "bernardo_cse@hotmail.com")
Implements numerical entropy-pooling for scenario analysis as
described in Meucci, Attilio (2010) <doi:10.2139/ssrn.1696802>.
covr, knitr (>= 1.33), markdown, roxygen2, spelling, testthat
(>= 3.0.0)