Title: Estimate Smooth and Linear Trends from Population Count Survey
Authors@R: person("Jonas", "Knape", email = "jonas.knape@slu.se", role = c("aut", "cre"))
Description: Functions to estimate and plot smooth or linear population trends, or population indices,
Imports: mgcv (>= 1.7.0), stats, graphics

Description: Population down-scaling from census blocks to building units using Areametric and Volumetric approaches.
The aforementioned methods were adopted by Lwin K. K. and Murayama Y. work <doi:10.1111/j.1467-9671.2009.01171.x>.

Description: Population down-scaling from a set of source zone geometrical features to another set of target zone
geometries gem units using Areametric and Volumetric approaches. The aforementioned methods were adopted by

Description: Areal interpolation of population data obtained
by census surveys. Given a set of source zone polygons such as
census tracts or city blocks alongside with population counts and a
target zone of incogruent yet superimposed polygon features (such as
individual buildings) populR transforms population counts from the
former to the latter using Areal Weighted and Volume Weighted

Title: Areal Interpolation of Population Data
former to the latter using Areal Weighting and Volume Weighting

Description: Downscaling of population data obtained
by census surveys using areal interpolation. Given a
Imports: sf, rlang, Metrics, usethis, areal, microbenchmark

Title: Models for Simulating Populations
Description: Run population simulations using an Individual-Based Model (IBM) compiled in C.
Packaged: 2015-12-22 23:43:42 UTC; Guillaume

Packaged: 2018-02-05 11:17:17 UTC; Guillaume

Packaged: 2022-03-15 14:15:24 UTC; guillaume

Authors@R: c(person("Maria Luisa", "Guerriero", email = "maria.guerriero@astrazeneca.com", role = c("aut", "cre")),
person("Natasha", "Karp", email = "natasha.karp@astrazeneca.com", role = c("aut")))
Description: Run simulations to assess the impact of various designs features
and the underlying biological behaviour on the outcome of a Patient Derived
Xenograft (PDX) population study. This project can either be deployed to a
server as a 'shiny' app or installed locally as a package and run the app
Imports: devtools, ggplot2, plyr, roxygen2, shiny, shinycssloaders
Author: Maria Luisa Guerriero [aut, cre],
Maintainer: Maria Luisa Guerriero <maria.guerriero@astrazeneca.com>