Showing 17 of total 17 results (show query)
robjhyndman
demography:Forecasting Mortality, Fertility, Migration and Population Data
Functions for demographic analysis including lifetable calculations; Lee-Carter modelling; functional data analysis of mortality rates, fertility rates, net migration numbers; and stochastic population forecasting.
Maintained by Rob Hyndman. Last updated 4 months ago.
actuarialdemographyforecasting
74 stars 8.21 score 241 scripts 6 dependents
isaakiel
mortAAR:Analysis of Archaeological Mortality Data
A collection of functions for the analysis of archaeological mortality data (on the topic see e.g. Chamberlain 2006 <https://books.google.de/books?id=nG5FoO_becAC&lpg=PA27&ots=LG0b_xrx6O&dq=life%20table%20archaeology&pg=PA27#v=onepage&q&f=false>). It takes demographic data in different formats and displays the result in a standard life table as well as plots the relevant indices (percentage of deaths, survivorship, probability of death, life expectancy, percentage of population). It also checks for possible biases in the age structure and applies corrections to life tables.
Maintained by Nils Mueller-Scheessel. Last updated 3 months ago.
anthropologyarchaeologydemographystatistics
15 stars 7.49 score 23 scripts
ropensci
nomisr:Access 'Nomis' UK Labour Market Data
Access UK official statistics from the 'Nomis' database. 'Nomis' includes data from the Census, the Labour Force Survey, DWP benefit statistics and other economic and demographic data from the Office for National Statistics, based around statistical geographies. See <https://www.nomisweb.co.uk/api/v01/help> for full API documentation.
Maintained by Evan Odell. Last updated 7 months ago.
api-clientcensus-datademographygeographic-datanational-statisticsofficial-statisticsofficialstatisticspeer-revieweduk
48 stars 7.34 score 115 scripts
mpascariu
MortalityLaws:Parametric Mortality Models, Life Tables and HMD
Fit the most popular human mortality 'laws', and construct full and abridge life tables given various input indices. A mortality law is a parametric function that describes the dying-out process of individuals in a population during a significant portion of their life spans. For a comprehensive review of the most important mortality laws see Tabeau (2001) <doi:10.1007/0-306-47562-6_1>. Practical functions for downloading data from various human mortality databases are provided as well.
Maintained by Marius D. Pascariu. Last updated 10 hours ago.
actuarial-sciencedemographydownload-hmdhuman-mortality-lawslife-tablemortality
31 stars 6.98 score 103 scripts 1 dependents
padrinodb
ipmr:Integral Projection Models
Flexibly implements Integral Projection Models using a mathematical(ish) syntax. This package will not help with the vital rate modeling process, but will help convert those regression models into an IPM. 'ipmr' handles density dependence and environmental stochasticity, with a couple of options for implementing the latter. In addition, provides functions to avoid unintentional eviction of individuals from models. Additionally, provides model diagnostic tools, plotting functionality, stochastic/deterministic simulations, and analysis tools. Integral projection models are described in depth by Easterling et al. (2000) <doi:10.1890/0012-9658(2000)081[0694:SSSAAN]2.0.CO;2>, Merow et al. (2013) <doi:10.1111/2041-210X.12146>, Rees et al. (2014) <doi:10.1111/1365-2656.12178>, and Metcalf et al. (2015) <doi:10.1111/2041-210X.12405>. Williams et al. (2012) <doi:10.1890/11-2147.1> discuss the problem of unintentional eviction.
Maintained by Sam Levin. Last updated 5 months ago.
demographyintegral-projection-modelscpp
7 stars 6.92 score 66 scripts 1 dependents
traitecoevo
plant:A Package for Modelling Forest Trait Ecology and Evolution
Solves trait, size and patch structured model from (Falster et al. 2016) using either method of characteristics or as stochastic, finite-sized population.
Maintained by Daniel Falster. Last updated 24 days ago.
c-plus-plusdemographydynamicecologyevolutionforestsplant-physiologyscience-researchsimulationtraitcpp
53 stars 5.87 score
guyabel
migest:Methods for the Indirect Estimation of Bilateral Migration
Tools for estimating, measuring and working with migration data.
Maintained by Guy J. Abel. Last updated 2 months ago.
32 stars 5.80 score 86 scripts
forestgeo
fgeo:Analyze Forest Diversity and Dynamics
To help you access, transform, analyze, and visualize ForestGEO data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to install and load the entire package-collection with a single R command, and provides convenient ways to find relevant documentation. Most commonly, you should not worry about the individual packages that make up the package-collection as you can access all features via this package. To learn more about ForestGEO visit <http://www.forestgeo.si.edu/>.
Maintained by Mauro Lepore. Last updated 5 years ago.
abundancedemographydynamicdynamicsecologyfgeoforestgeoforestshabitatmetapackagetree
33 stars 5.53 score 12 scripts
willekens
VirtualPop:Simulation of Populations by Sampling Waiting-Time Distributions
Generates lifespans and fertility histories in continuous time using individual-level state transition (multi-state) models and data from the Human Mortality Database and the Human Fertility Database. To facilitate virtual population analysis, data on virtual individuals are stored in a data structure commonly used in sample surveys. Life histories are generated for multiple generations. The genealogies that result facilitate the study of family ties.
Maintained by Frans Willekens. Last updated 2 years ago.
demographylife-historiesmultistate-modelssimulation
13 stars 5.41 score 2 scripts
ivanwilli
DemoKin:Estimate Population Kin Distribution
Estimate population kin counts and its distribution by type, age and sex. The package implements one-sex and two-sex framework for studying living-death availability, with time varying rates or not, and multi-stage model.
Maintained by Iván Williams. Last updated 1 months ago.
23 stars 5.36 score 20 scripts
aestears
plantTracker:Extract Demographic and Competition Data from Fine-Scale Maps
Extracts growth, survival, and local neighborhood density information from repeated, fine-scale maps of organism occurrence. Further information about this package can be found in our journal article, "plantTracker: An R package to translate maps of plant occurrence into demographic data" published in 2022 in Methods in Ecology and Evolution (Stears, et al., 2022) <doi:10.1111/2041-210X.13950>.
Maintained by Alice Stears. Last updated 2 years ago.
7 stars 5.12 score 19 scripts
aariq
bumbl:Tools for Modeling Bumblebee Colony Growth and Decline
Bumblebee colonies grow during worker production, then decline after switching to production of reproductive individuals (drones and gynes). This package provides tools for modeling and visualizing this pattern by identifying a switchpoint with a growth rate before and a decline rate after the switchpoint. The mathematical models fit by bumbl are described in Crone and Williams (2016) <doi:10.1111/ele.12581>.
Maintained by Eric R. Scott. Last updated 2 years ago.
bumblebeedemographyglmswitchpoint
3 stars 4.48 score 8 scriptswillekens
Families:Kinship Ties in Virtual Populations
Tools to study kinship networks, grandparenthood, and double burden (presence of children and oldest old parents) in virtual population produced by 'VirtualPop'.
Maintained by Frans Willekens. Last updated 3 years ago.
demographyfamilieskinshipsimulation
6 stars 4.48 score 1 scriptsguyabel
wcde:Download Data from the Wittgenstein Centre Human Capital Data Explorer
Download and plot education specific demographic data from the Wittgenstein Centre for Demography and Human Capital Data Explorer <http://dataexplorer.wittgensteincentre.org/>.
Maintained by Guy J. Abel. Last updated 9 days ago.
demographydemograpic-datapopulation-data
2 stars 4.26 score 18 scripts
mrc-ide
beers:Calculate Beers Ordinary Interpolation
Calculate Beers Interpolation (both Ordinary and Modified method); a six-term formula which minimizes the fifth differences of the interpolated results. See p877 of The Methods and Materials of Demography, Volume 2, referring to Beers, The Record of the American Institute of Actuaries, 34, Part I (69):59-60, June 1945.
Maintained by Wes Hinsley. Last updated 4 years ago.
demographyinterpolationsubdivision
2 stars 3.95 score 5 scripts 3 dependentsmpascariu
MortalityGaps:The Double-Gap Life Expectancy Forecasting Model
Life expectancy is highly correlated over time among countries and between males and females. These associations can be used to improve forecasts. Here we have implemented a method for forecasting female life expectancy based on analysis of the gap between female life expectancy in a country compared with the record level of female life expectancy in the world. Second, to forecast male life expectancy, the gap between male life expectancy and female life expectancy in a country is analysed. We named this method the Double-Gap model. For a detailed description of the method see Pascariu et al. (2018). <doi:10.1016/j.insmatheco.2017.09.011>.
Maintained by Marius D. Pascariu. Last updated 14 hours ago.
demographyforecasting-life-expectancylongevitymortality-forecasting
1 stars 3.70 score 8 scriptsforestgeo
fgeo.analyze:Analyze ForestGEO Data
To help you access, transform, analyze, and visualize ForestGEO data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to implement analyses of plot species distributions, topography, demography, and biomass. It also includes a torus translation test to determine habitat associations of tree species as described by Zuleta et al. (2018) <doi:10.1007/s11104-018-3878-0>. To learn more about ForestGEO visit <https://forestgeo.si.edu/>.
Maintained by Mauro Lepore. Last updated 4 years ago.
abundancedemographyfgeoforestgeo
2 stars 3.48 score 7 scripts 1 dependents