Interface to 'episensr' for Sensitivity Analysis of
Epidemiological Results
person(given = "Denis",
family = "Haine",
role = c("aut", "cre"),
email = "denis.haine@gmail.com",
comment = c(ORCID = "0000-0002-6691-7335"))
API for using 'episensr', Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. See <https://cran.r-project.org/package=episensr>.
shiny, golem, config, processx, attempt, DT, glue, htmltools,
shinymaterial, shinyjs, rhandsontable, rmarkdown, ggraph,
igraph

shiny, golem, config, glue, htmltools, shinymaterial, shinyjs,
rhandsontable, rmarkdown, ggraph, igraph

Datasets from Hosmer, Lemeshow and Sturdivant, "Applied Logistic
Regression" (3rd ed.)
"Luca Braglia <lbraglia@gmail.com> [aut, cre]"
This package is a unofficial companion to the textbook "Applied
Logistic Regression" by D.W. Hosmer, S. Lemeshow and
R.X. Sturdivant (3rd ed.). See ?aplore3 for more info.
knitr, MASS, vcdExtra, nnet, survival, pROC

Datasets from Hosmer, Lemeshow and Sturdivant, "Applied Logistic
Regression" (3rd Ed., 2013)
An unofficial companion to "Applied
Logistic Regression" by D.W. Hosmer, S. Lemeshow and
R.X. Sturdivant (3rd ed., 2013) containing the dataset used in the book.

Decorate a 'ggplot' with Associated Information
person("Guangchuang", "Yu", email = "guangchuangyu@gmail.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-6485-8781"))
For many times, we are not just aligning plots as what 'cowplot' and 'patchwork' did. Users would like to align associated information that requires axes to be exactly matched in subplots, e.g. hierarchical clustering with a heatmap. This package provides utilities to aligns associated subplots to a main plot at different sides (left, right, top and bottom) with axes exactly matched.
Guangchuang Yu [aut, cre, cph]
(<https://orcid.org/0000-0002-6485-8781>)

ggplot2, ggplotify, patchwork, magrittr, methods, utils

ggfun (>= 0.0.4), ggplot2, ggplotify, patchwork, magrittr,
methods, utils, yulab.utils