rstan, rstanarm, lattice, stats, utils, graphics, grDevices

Reporting Tools for Sensitivity Analysis of Evidence Factors in
Observational Studies
Integrated Sensitivity Analysis of Evidence Factors in Observational Studies.

Provides tools for integrated sensitivity analysis of evidence factors in observational
studies. When an observational study allows for multiple independent or nearly
independent inferences which, if vulnerable, are vulnerable to different biases, we have
multiple evidence factors.  This package provides methods that respect type I error rate control.
Examples are provided of integrated evidence factors analysis in a longitudinal study with
continuous outcome and in a case-control study.
Karmakar, B., French, B., and Small, D. S. (2019)<DOI:10.1093/biomet/asz003>.

Evidence Factors in Observational Studies
Contains a collection of examples of evidence factors in observational studies; e.g., Rosenbaum (2017) <doi:10.1214/17-STS621>.  The examples are collected to aid readers of a book in preparation, "Replication and Evidence Factors in Observational Studies".
stats, MASS, sensitivity2x2xk, graphics, sensitivitymult,
sensitivitymv, senstrat, DOS2

Contains a collection of examples of evidence factors in observational studies from the book Replication and Evidence Factors in Observational Studies by Paul R. Rosenbaum (2021) <doi:10.1201/9781003039648>.

S original (EVIS) by Alexander McNeil
<mcneil@math.ethz.ch>, R port by Alec
Stephenson <alec_stephenson@hotmail.com>.
Functions for extreme value theory, which may be
divided into the following groups; exploratory data analysis,
block maxima, peaks over thresholds (univariate and bivariate),
point processes, gev/gpd distributions.

S original (EVIS) by Alexander McNeil <mcneil@math.ethz.ch>, R
port by Alec Stephenson <alec_stephenson@hotmail.com>.
Functions for extreme value theory, which may be divided
into the following groups; exploratory data analysis, block
maxima, peaks over thresholds (univariate and bivariate), point
processes, gev/gpd distributions.