R (>= 2.12.0), lassoshooting (>= 0.1.4), Matrix, methods, irr,
igraph0, elasticnet, survival

R (>= 2.10.0), lassoshooting (>= 0.1.3), Matrix, methods, irr,
igraph, elasticnet, survival

R (>= 2.12.0), lassoshooting (>= 0.1.4), Matrix, methods,
graph
Estimates sparse matrices A or G using fast lasso regression from mRNA transcript levels Y and CNA profiles U. Two models are provided, EPoC A where
AY + U + R = 0
and EPoC G where
Y = GU + E,
the matrices R and E are so far treated as noise. For details see the reference and the manual page of `lassoshooting'.

Endogenous Perturbation Analysis of Cancer
R (>= 2.12.0), lassoshooting (>= 0.1.4), Matrix, methods
Estimates sparse matrices A or G using fast lasso regression from mRNA transcript levels Y and CNA profiles U. Two models are provided, EPoC A where
AY + U + R = 0
and EPoC G where
Y = GU + E,
the matrices R and E are so far treated as noise. For
details see the manual page of 'lassoshooting' and the
article Rebecka Jörnsten, Tobias Abenius, Teresia Kling,
Linnéa Schmidt, Erik Johansson, Torbjörn E M Nordling,
Bodil Nordlander, Chris Sander, Peter Gennemark,
Keiko Funa, Björn Nilsson, Linda Lindahl, Sven Nelander
(2011) <doi:10.1038/msb.2011.17>.

Clinical Coding of Patients with Kidney Disease
c(person(given = "Alwin",
family = "Wang",
role = c("aut", "cre"),
email = "alwin.wang@austin.org.au",
comment = c(ORCID = "0000-0003-4883-2917")),
person(given = "Lisa",
family = "Toh",
role = "aut",
email = "lisa.toh2@austin.org.au",
comment = c(ORCID = "0000-0002-5994-3666")))
Clinical coding and diagnosis of patients with kidney using
clinical practice guidelines. The guidelines used are the evidence-based
KDIGO guidelines, see <https://kdigo.org/guidelines/> for more information.
This package covers acute kidney injury (AKI), anemia, and
chronic liver disease (CKD).
dplyr (>= 1.0.1), tidyr (>= 1.1.1), tidyselect (>= 1.1.0),
tibble (>= 3.0.1), vctrs, ellipsis, rlang (>= 0.4.0), units (>=
0.7), lubridate, magrittr
usethis, testthat, covr, knitr, rmarkdown