person("Byron", "Jaeger", email = "bjaeger@wakehealth.edu", role = c("aut", "cre"))

An R package to assess agreement between observers.
Teresa Henriques, Luis Antunes and Cristina Costa-Santos
The package includes two functions for measuring agreement. Raw Agreement Indices (RAI) to categorical data and Information-Based Measure of Disagreement (IBMD) to continuous data. It can be used for multiple raters and multiple readings cases.

Sensitivity analysis for Observational studies.
Observational studies are limited in that there could be an unmeasured variable related to both the response variable and the primary predictor.  If this unmeasured variable were included in the analysis it would change the relationship (possibly changing the conclusions).  Sensitivity analysis is a way to see how much of a relationship needs to exist with the unmeasured variable before the conclusions change.  This package provides tools for doing a sensitivity analysis for regression (linear, logistic, and cox) style models.

Observational studies are limited in that there could be
an unmeasured variable related to both the response variable
and the primary predictor.  If this unmeasured variable were
included in the analysis it would change the relationship
(possibly changing the conclusions).  Sensitivity analysis is a
way to see how much of a relationship needs to exist with the
unmeasured variable before the conclusions change.  This
package provides tools for doing a sensitivity analysis for
regression (linear, logistic, and cox) style models.

Sensitivity Analysis for Observational Studies

Checks that a given dataset passes user-specified
rules. The main functions are observe_if() and inspect().
bazar, bit, dplyr, lazyeval, magrittr, tibble, utils

Keith Poole <kpoole@ucsd.edu>, Jeffrey Lewis <jblewis@ucla.edu>, James Lo <jameslo@ucla.edu> and Royce Carroll <rcarroll@ucsd.edu>
Estimates Optimal Classification scores from roll call votes supplied though a 'rollcall' object from package 'pscl'.

Keith Poole <kpoole@ucsd.edu>, Jeffrey Lewis
<jblewis@ucla.edu>, James Lo <jameslo@ucla.edu> and Royce
Carroll <rcarroll@ucsd.edu>
Estimates Optimal Classification scores from roll call
votes supplied though a 'rollcall' object from package 'pscl'.