DESCRIPTION

Package: hdat9600tutorials
Type: Package
Title: Health Data Analytics: Statistical Modelling I (HDAT9600)
Version: 0.1.1
Author: as.person(c(
    "Tim Churches" <tim.churches@inghaminstitute.org.au> [aut]",
    "Maarit Laaksonen <m.laaksonen@unsw.edu.au> [aut]", 
    "Mark Hanly <m.hanly@unsw.edu.au> [aut]", 
    "Sanja Lujic <s.lujic@unsw.edu.au> [aut]",
    "Andrew Blance <a.blance@student.unsw.edu.au> [aut]",
    "UNSW Sydney [cph]"
  ))
Maintainer: <m.hanly@unsw.edu.au>
Description: This package contains interactive learnr tutorials for 
    the course HDAT9600 Statistical Modelling I, delivered as part 
    of the Masters of Science in Health Data Science by the Centre 
    for Big Data Research in Health, UNSW Sydney.
License: file LICENSE
Copyright: UNSW Sydney
Encoding: UTF-8
Imports: 
    brglm (>= 0.7.2),
    bshazard (>= 1.1),
    car (>= 3.0.12) ,
    dplyr (>= 1.0.7),
    eha (>= 2.9.0),
    faraway (>= 1.0.7),
    ggplot2 (>= 3.3.5),
    Hmisc (>= 4.6.0),
    kableExtra (>= 1.3.4),
    knitr (>= 1.37),
    learnr (>= 0.10.1),
    lmtest (>= 0.9.39),
    MASS (>= 7.3.55),
    Matrix (>= 1.4.0),
    olsrr (>= 0.5.3),
    rmarkdown (>= 2.11),
    sandwich (>= 3.0.1),
    shiny (>= 1.7.1),
    stringi (>= 1.7.6),
    survminer (>= 0.4.9),
    tidyr (>= 1.1.4),
    trafo (>= 1.0.1)
LazyData: true
Suggests: 
    learnr
RoxygenNote: 7.1.2