Package: CIMPLE 0.1.0

Howard Baik

CIMPLE: Analysis of Longitudinal Electronic Health Record (EHR) Data with Possibly Informative Observational Time

Analyzes longitudinal Electronic Health Record (EHR) data with possibly informative observational time. These methods are grouped into two classes depending on the inferential task. One group focuses on estimating the effect of an exposure on a longitudinal biomarker while the other group assesses the impact of a longitudinal biomarker on time-to-diagnosis outcomes. The accompanying paper is Du et al (2024) <doi:10.48550/arXiv.2410.13113>.

Authors:Jiacong Du [aut], Howard Baik [cre]

CIMPLE_0.1.0.tar.gz
CIMPLE_0.1.0.tar.gz(r-4.5-noble)CIMPLE_0.1.0.tar.gz(r-4.4-noble)
CIMPLE_0.1.0.tgz(r-4.4-emscripten)CIMPLE_0.1.0.tgz(r-4.3-emscripten)
CIMPLE.pdf |CIMPLE.html✨
CIMPLE/json (API)
NEWS

# Install 'CIMPLE' in R:
install.packages('CIMPLE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 2 scripts 2 exports 80 dependencies

Last updated 11 days agofrom:032f33b557. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-linuxOKNov 13 2024

Exports:long_estsurv_est

Dependencies:backportsbitbit64bootbroomclicliprcodacodetoolscolorspacecpp11crayondplyrfansifarverforcatsforeachgenericsggplot2GLMMadaptiveglmnetgluegridExtragtablehavenhmsisobanditeratorsJMbayes2jomolabelinglatticelifecyclelme4magrittrMASSMatrixmatrixStatsmgcvmiceminqamitmlmunsellnleqslvnlmenloptrnnetnumDerivordinalpanparallellypillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerRcppRcppArmadilloRcppEigenreadrrlangrpartscalesshapestatmodstringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsviridisLitevroomwithr