Package: currentSurvival
Version: 1.0
Date: 2013-01-19
Title: Estimation of CCI and CLFS Functions
Author: Eva Janousova, Tomas Pavlik, Jiri Mayer, Ladislav Dusek
Maintainer: Eva Janousova <janousova@iba.muni.cz>
Depends: R (>= 2.13.0), survival, cmprsk
Description: The currentSurvival package contains functions for the
estimation of the current cumulative incidence (CCI) and the
current leukaemia-free survival (CLFS). The CCI is the
probability that a patient is alive and in any disease
remission (e.g. complete cytogenetic remission in chronic
myeloid leukaemia) after initiating his or her therapy (e.g.
tyrosine kinase therapy for chronic myeloid leukaemia). The
CLFS is the probability that a patient is alive and in any
disease remission after achieving the first disease remission.
License: GPL (>= 2)
Packaged: 2013-01-19 17:49:05 UTC; janousova
Repository: CRAN
Date/Publication: 2013-01-19 19:54:21

Package: currentSurvival
Version: 1.1
Date: 2022-05-03
Title: Estimation of CCI and CLFS Functions
Author: Eva Koritakova (Janousova), Tomas Pavlik, Jiri Mayer, Ladislav Dusek
Maintainer: Eva Koritakova <koritakova@iba.muni.cz>
Depends: R (>= 4.2.0), survival, cmprsk
Description: The currentSurvival package contains functions for
the estimation of the current cumulative incidence (CCI) and
the current leukaemia-free survival (CLFS). The CCI is the
probability that a patient is alive and in any disease
remission (e.g. complete cytogenetic remission in chronic
myeloid leukaemia) after initiating his or her therapy (e.g.
tyrosine kinase therapy for chronic myeloid leukaemia). The
CLFS is the probability that a patient is alive and in any
disease remission after achieving the first disease remission.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-05-03 21:50:32 UTC; koritakova
Repository: CRAN
Date/Publication: 2022-05-12 07:20:02 UTC

Title: Partial Function Application with %<%, %-<%, and %><%
Description: Partial application is the process of reducing the arity of a
function by fixing one or more arguments, thus creating a new function
lacking the fixed arguments. The curry package provides three different ways
of performing partial function application by fixing arguments from either
end of the argument list (currying and tail currying) or by fixing multiple
named arguments (partial application). This package provides this
functionality through the %<%, %-<%, and %><% operators which allows for
a programming style comparable to modern functional languages. Compared
to other implementations such a purrr::partial() the operators in curry
composes functions with named arguments, aiding in autocomplete etc.
Collate: 'utils.R' 'curry.R' 'partial.R' 'scaffold.R' 'tail_curry.R'