Title: Summary of Population Pharmacokinetic Analysis
Author: Christoffer W. Tornoe <ctornoe@gmail.com> & Fang Li
Depends: R (>= 2.10.0), Hmisc, lattice, grid
Description: This package uses xpose4 to create standard graphs and

Depends: R (>= 2.10.0), Hmisc, lattice, grid, xpose4

Depends: R (>= 2.12.2), Hmisc, lattice, grid, xpose4

Description: Functions that facilitate the elaboration of population pyramids.

Title: Random Forest-Informed Population Disaggregation
Description: Disaggregating census-based areal population counts to finer
gridded population surfaces using Random Forest algorithm to determine
Imports: doParallel, parallel, raster, methods, stats, foreach,
Author: Maksym Bondarenko [aut, cre, cph]
Jeremiah J Nieves [aut] (<https://orcid.org/0000-0002-7423-1341>),

Title: popRange: A spatially and temporally explicit forward genetic
Maintainer: Kimberly F. McManus <kfm@stanford.edu>
Description: Runs a forward genetic simulator
SystemRequirements: Python version >= 2.7, NumPy (Python scientific
Packaged: 2014-03-12 02:33:23 UTC; kimberlymcmanus

Packaged: 2014-04-07 16:33:46 UTC; kimberlymcmanus

Packaged: 2014-10-03 20:22:35 UTC; kimberlymcmanus

SystemRequirements: Python 2.7.x or Python 3.2.x-3.4.x, NumPy (Python
Packaged: 2014-10-13 16:45:57 UTC; kimberlymcmanus

Packaged: 2014-03-20 22:52:18 UTC; kimberlymcmanus

Title: Reconstruct population counts, fertility, mortality and
migration rates of human populations of the recent past.
Description: Implements the Bayesian hierarchical model described by
Wheldon, Raftery Clark and Gerland (see:
simultaneously estimating age-specific population counts,
fertility rates, mortality rates and net international

Maintainer: Mark C. Wheldon <mwheldon@aut.ac.nz>
Description: Implements the Bayesian hierarchical model described by Wheldon, Raftery Clark and Gerland (see: http://www.csss.washington.edu/Papers/wp108.pdf) for simultaneously estimating age-specific population counts, fertility rates, mortality rates and net international migration flows, at the national level.