Fits a constrained regression model for an ordinal response with ordinal predictors and possibly others, Espinosa and Hennig (2019) <doi:10.1007/s11222-018-9842-2>. The parameter estimates associated with an ordinal predictor are constrained to be monotonic. If a monotonicity direction (isotonic or antitonic) is not specified for an ordinal predictor by the user, then the monotonicity direction classification procedure establishes it. Two monotonicity tests are also available to test the null hypothesis of monotonicity over a set of parameters associated with an ordinal predictor.

Dr. Matthias Fischer, Kevin Jakob & Stefan Kolb
Modelling credit risks based on the concept of
"CreditRisk+", First Boston Financial Products, 1997 and
"CreditRisk+ in the Banking Industry", Gundlach & Lehrbass,
Springer, 2003.

Kevin Jakob, Dr. Matthias Fischer & Stefan Kolb

Modelling credit risks based on the concept of "CreditRisk+", First Boston Financial Products, 1997 and "CreditRisk+ in the Banking Industry", Gundlach & Lehrbass, Springer, 2003.

In order to facilitate analysis of datasets hosted on the Crunch
data platform <http://crunch.io/>, the 'crplyr' package implements 'dplyr'
methods on top of the Crunch backend. The usual methods "select", "filter",
"mutate", "group_by", and "summarize" are implemented in such a way as to
perform as much computation on the server and pull as little data locally
as possible.
person("Neal", "Richardson", role=c("aut", "cre"), email="neal@crunch.io")

In order to facilitate analysis of datasets hosted on the Crunch
data platform <http://crunch.io/>, the 'crplyr' package implements 'dplyr'
methods on top of the Crunch backend. The usual methods 'select', 'filter',
'mutate', 'group_by', and 'summarize' are implemented in such a way as to
perform as much computation on the server and pull as little data locally
as possible.
c(
person("Neal", "Richardson", role=c("aut", "cre"), email="neal@crunch.io"),
person("Gordon", "Shotwell", role="aut", email="gordon@crunch.io"))
methods, lazyeval, purrr, tibble, stringr, rlang (>= 0.1.2)
Neal Richardson [aut, cre],
Gordon Shotwell [aut]