Testing Differences Between Competing Risks Models and Their
Visualisations
c(
person("Magda", "Młynarczyk", email = "magmlynarczyk@gmail.com", role = c("aut", "cre")),
person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut","ths"))
)
Tool for analyzing competing risks models. The main point of interest is testing differences between groups (as described in R.J Gray (1988) <doi:10.1214/aos/1176350951> and J.P. Fine, R.J Gray (1999) <doi:10.2307/2670170>) and visualizations of survival and cumulative incidence curves.
Magda Młynarczyk [aut, cre],
Przemyslaw Biecek [aut, ths]

Probabilistic damage tolerance analysis for fatigue cracking of
metallic aerospace structures
Using a sampling-based approach (either sequential importance sampling or explicit Monte Carlo), this package can be used to perform a probabilistic damage tolerance for aircraft structures. It can model a single crack, or two simultaneously growing fatigue cracks (the so-called continuing damage problem). With a single crack, multiple types of future repairs are possible.

person(given = "Beniamino",
family = "Green",
role = c("aut", "cre"),
email = "ben@greendalba.com",
)
Implements Cragg-Donald (1993) <doi:10.1017/S0266466600007519> and Stock and Yogo (2005) <doi:10.1017/CBO9780511614491.006> tests for weak instruments in R.
testthat (>= 3.0.0), knitr, MASS, rmarkdown

Provides R routine for the multivariate
nonparametric Cramer-Test

Multivariate nonparametric Cramer-Test for the two-sample-problem
Provides R routine for the so called two-sample Cramer-Test.
This not distribution free, nonparametric two-sample-test can be applied
on multivariate data as well as univariate data. It offers two
possiblities to approximate the critical value both of which are
included in this package.

Multivariate nonparametric Cramer-Test for the
two-sample-problem
Provides R routine for the so called two-sample
Cramer-Test.  This not distribution free, nonparametric
two-sample-test can be applied on multivariate data as well as
univariate data. It offers two possiblities to approximate the
critical value both of which are included in this package.
Orphaned on 2013-12-21 as maintainer address
<franz@stochastik.uni-hannover.de> bounced.