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.

Datasets and utility functions to support the book
    "R for Plant Disease Epidemiology" (R4PDE). It includes functions for quantifying disease,
    assessing spatial patterns, and modeling plant disease epidemics based on weather predictors.
    These tools are intended for teaching and research in plant disease epidemiology. Several functions
    are based on classical and contemporary methods, including those discussed in Laurence V. Madden,
    Gareth Hughes, and Frank van den Bosch (2007) <doi:10.1094/9780890545058>.

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).