c(person(given = "John", family = "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca", comment = c(ORCID = "0000-0002-1196-8012")),
person(given = "Christian", family = "Kleiber", role = "aut", email = "Christian.Kleiber@unibas.ch", comment = c(ORCID = "0000-0002-6781-4733")),
person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org", comment = c(ORCID = "0000-0003-0918-3766")),
person(given = "Nikolas", family = "Kuschnig", role = "ctb", email = "nikolas.kuschnig@wu.ac.at", comment = c(ORCID = "0000-0002-6642-2543")))

Create Independent Evidence in IV Analyses and Do Sensitivity
Analysis in Regression and IV Analysis
Allows you to create an evidence factor (EX analysis) in an
instrumental variables regression model. Additionally, performs Sensitivity
analysis for OLS analysis, 2SLS analysis and EX analysis with interpretable
plotting and printing features.

c(
person("Davis", "Vaughan", , "davis@rstudio.com", role = c("aut", "cre")),
person("RStudio", role = c("cph", "fnd"))
)
Provides a library for generic interval manipulations using a
new interval vector class. Capabilities include: locating various
kinds of relationships between two interval vectors, merging overlaps
within a single interval vector, splitting an interval vector on its
overlapping endpoints, and applying set theoretical operations on
interval vectors. Many of the operations in this package were inspired
by James Allen's interval algebra, Allen (1983)
<doi:10.1145/182.358434>.

Structural Additive Cumulative Intensity Models with IV
An instrumental variable estimator under structural cumulative additive intensity model is fitted, that leverages initial randomization as the IV. We also provide a consistent variance estimate.
Rcpp (>= 1.0.5), survival, lava, timereg

An instrumental variable estimator under structural cumulative additive intensity model is fitted, that leverages initial randomization as the IV. The estimator can be used to fit an additive hazards model under time to event data which handles treatment switching (treatment crossover) correctly. We also provide a consistent variance estimate.