The Acute COPD Exacerbation Prediction Tool (ACCEPT)
c(
person("Amin", "Adibi", email = "adibi@alumni.ubc.ca", role = c("aut", "cre")),
person("Mohsen", "Sadatsafavi", email = "mohsen.sadatsafavi@ubc.ca", role = c("aut", "cph")),
person("Ainsleigh", "Hill", email = "ainsleigh.hill@alumni.ubc.ca", role = c("aut")))
Allows clinicians to predict the rate and severity of future acute exacerbation in Chronic Obstructive Pulmonary Disease (COPD) patients, based on the clinical prediction model published in Adibi et al. (2019) <doi:10.1101/651901>.
stats, MASS, dplyr, stringr, extrafont, plotly, viridis
Amin Adibi [aut, cre],
Mohsen Sadatsafavi [aut, cph],
Ainsleigh Hill [aut]

Allows clinicians to predict the rate and severity of future acute exacerbation in Chronic Obstructive Pulmonary Disease (COPD) patients, based on the clinical prediction model published in Adibi et al. (2020) <doi:10.1016/S2213-2600(19)30397-2>.

c(
person("Amin", "Adibi", email = "adibi@alumni.ubc.ca", role = c("aut", "cre")),
person("Mohsen", "Sadatsafavi", email = "mohsen.sadatsafavi@ubc.ca", role = c("aut", "cph")),
person("Abdollah", "Safari", email = "asafari@mail.ubc.ca", role = c("aut")),
person("Ainsleigh", "Hill", email = "ainsleigh.hill@alumni.ubc.ca", role = c("aut")))
Amin Adibi [aut, cre],
Mohsen Sadatsafavi [aut, cph],
Abdollah Safari [aut],
Ainsleigh Hill [aut]

c(person(given = "Rafael H. M.",
family = "Pereira",
role = c("aut", "cre"),
email = "rafa.pereira.br@gmail.com",
comment = c(ORCID = "0000-0003-2125-7465")),
person(given = "Daniel",
family = "Herszenhut",
role = "aut",
email = "dhersz@gmail.com",
comment = c(ORCID = "0000-0001-8066-1105")),
person(given = "Ipea - Institute for Applied Economic Research",
role = c("cph", "fnd")))
A set of fast and convenient functions to calculate multiple
transport accessibility measures. Given a pre-computed travel cost
matrix in long format combined with land-use  data (e.g. location
of  jobs, healthcare, population), the package  allows one to
calculate active and passive accessibility levels using multiple
accessibility metrics such as: cumulative opportunity measure
(using either travel time cutoff or interval), minimum travel cost
to closest N number of activities, gravitational measures and
different floating catchment area methods.
covr, ggplot2, knitr, r5r, rmarkdown, sf, stats, testthat
Rafael H. M. Pereira [aut, cre]
(<https://orcid.org/0000-0003-2125-7465>),
Daniel Herszenhut [aut] (<https://orcid.org/0000-0001-8066-1105>),
Ipea - Institute for Applied Economic Research [cph, fnd]
Rafael H. M. Pereira <rafa.pereira.br@gmail.com>