Imports: Matrix, matrixStats, methods, utils
Suggests: knitr, testthat, rmarkdown, rioja, HiTC, snpStats

Imports: stats, graphics, grDevices, Matrix, matrixStats, methods,
Suggests: knitr, testthat, rmarkdown, rioja, HiTC, snpStats,

Ambroise et al (2019) <https://almob.biomedcentral.com/articles/10.1186/s13015-019-0157-4>.

Imports: stats, graphics, grDevices, Rcpp (>= 1.0.6), Matrix,

clustering, in which each observation is associated to a position, and only
adjacent clusters can be merged. Typical application fields in

Title: Confounder-Adjusted Survival Curves and Cumulative Incidence
person("Robin", "Denz", , "robin.denz@rub.de", role = c("aut", "cre"))
Description: Estimate and plot confounder-adjusted survival curves using
either 'Direct Adjustment', 'Direct Adjustment with Pseudo-Values',
various forms of 'Inverse Probability of Treatment Weighting', two
forms of 'Augmented Inverse Probability of Treatment Weighting',
'Empirical Likelihood Estimation' and 'Targeted Maximum Likelihood
Estimation'. Also includes a significance test for the difference
between two adjusted survival curves and the calculation of adjusted
restricted mean survival times.  Additionally enables the user to
estimate and plot cause-specific confounder-adjusted cumulative
incidence functions in the competing risks setting using the same
For details, see Denz et. al (2022) <arXiv:2203.10002v1>.
Imports: R.utils, doParallel, doRNG, dplyr (>= 1.0.0), foreach, rlang
Suggests: MASS, Matching (>= 4.9), R6, SuperLearner (>= 2.0.0),
Packaged: 2022-09-21 16:34:45 UTC; Robin Denz

Packaged: 2022-11-22 14:32:16 UTC; Robin Denz

Title: Remove Automated and Repeated Downloads from 'RStudio' 'CRAN'
Authors@R: c(person("Tyler", "Morgan-Wall", email = "tylermw@gmail.com", role = c("aut", "cre")))
Description: Adjusts output of 'cranlogs' package to account for 'CRAN'-wide daily automated downloads and re-downloads caused by package updates.
Imports: cranlogs, xml2, lubridate, dplyr, rvest

Package: adk
Type: Package
Title: Anderson-Darling K-Sample Test and Combinations of Such Tests
Version: 1.0-1
Date: 2011-05-21
Author: Fritz Scholz
Maintainer: <fscholz@u.washington.edu>
Description: The Anderson-Darling K-sample test can be used to test
whether several independent random samples of various sizes
come from the same but unspecified continuous distribution. It
is a rank test and consistent against all alternatives. A low
to moderate number of tied observations can be tolerated. The
combination of such tests can be used to test whether M groups
of samples (with K allowed to vary from group to group) come
from respective common distributions, which may vary from group
to group. This is useful in testing for treatment effects in
randomized (incomplete) block designs or in examining whether
several laboratories perform equally well when asked to measure
a sufficient number of test speciments from different batches
or materials.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2011-05-21 18:35:31 UTC; fritz
Repository: CRAN
Date/Publication: 2011-05-21 20:28:03