A collection of datasets that accompany the forthcoming book "R for Health Care Research".

Since the early 1970s eyewitness testimony researchers have recognised the 
    importance of estimating properties such as lineup bias (is the lineup biased against 
    the suspect, leading to a rate of choosing higher than one would expect by chance?), 
    and lineup size (how many reasonable choices are in fact available to the witness? 
    A lineup is supposed to consist of a suspect and a number of additional members, 
    or foils, whom a poor-quality witness might mistake for the perpetrator). Lineup 
    measures are descriptive, in the first instance, but since the earliest articles in 
    the literature researchers have recognised the importance of reasoning inferentially 
    about them. This package contains functions to compute various properties of 
    laboratory or police lineups, and is intended for use by researchers in forensic 
    psychology and/or eyewitness testimony research. Among others, the r4lineups package 
    includes functions for calculating lineup proportion, functional size, various 
    estimates of effective size, diagnosticity ratio, homogeneity of the diagnosticity 
    ratio, ROC curves for confidence x accuracy data and the degree of similarity of 
    faces in a lineup.

A collection of R functions for use with Stock Synthesis, a
    fisheries stock assessment modeling platform written in ADMB by Dr. Richard
    D. Methot at the NOAA Northwest Fisheries Science Center. The functions
    include tools for summarizing and plotting results, manipulating files,
    visualizing model parameterizations, and various other common stock
    assessment tasks.
    This version of '{r4ss}' is compatible with Stock Synthesis versions
    3.24 through 3.30 (specifically version 3.30.19.01, from April
    2022).

Rapid realistic routing on multimodal transport networks
    (walk, bike, public transport and car) using 'R5', the Rapid Realistic
    Routing on Real-world and Reimagined networks engine
    <https://github.com/conveyal/r5>. The package allows users to generate
    detailed routing analysis or calculate travel time matrices using
    seamless parallel computing on top of the R5 Java machine.  While R5
    is developed by Conveyal, the package r5r is independently developed
    by a team at the Institute for Applied Economic Research (Ipea) with
    contributions from collaborators. Apart from the documentation in this
    package, users will find additional information on R5 documentation at
    <https://docs.conveyal.com/>. Although we try to keep new releases of
    r5r in synchrony with R5, the development of R5 follows Conveyal's
    independent update process. Hence, users should confirm the R5 version
    implied by the Conveyal user manual (see
    <https://docs.conveyal.com/changelog>) corresponds with the R5 version
    that r5r depends on. This version of r5r depends on R5 v7.1.