Type: Package
Title: Makes a Local Population Projection
Version: 0.1.1
Author: Peter Thuresson <jpeter.thuresson@gmail.com>
Maintainer: Peter Thuresson <jpeter.thuresson@gmail.com>
Description: This is a sub national population projection model for calculating population development. The model uses a cohort component method. Further reading: Stanley K. Smith: A Practitioner's Guide to State and Local Population Projections. 2013. <doi:10.1007/978-94-007-7551-0>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: dplyr (≥ 0.8.5)
Depends: R (≥ 2.10)
NeedsCompilation: no
Packaged: 2020-09-23 15:34:40 UTC; prota
Repository: CRAN
Date/Publication: 2020-09-25 13:40:12 UTC

assumptions

Description

This is a Data Frame with assumptions about migrations rates, deaths and births.

Usage

data("assump_data")

Format

A data frame with 1111 observations on the following 14 variables.

age

a numeric vector

category

a factor with levels asdr_men asdr_women asfr inmig.rates.men inmig.rates.women intermig.net.men intermig.net.women natpop.men natpop.women outmig.rates.men outmig.rates.women

ar_1

a numeric vector

ar_2

a numeric vector

ar_3

a numeric vector

ar_4

a numeric vector

ar_5

a numeric vector

ar_6

a numeric vector

ar_7

a numeric vector

ar_8

a numeric vector

ar_9

a numeric vector

ar_10

a numeric vector

ar_11

a numeric vector

ar_12

a numeric vector

Details

This is a Data Frame that consists of assumptions and input to the population model. The Data Frame has 14 different variables under category: age specific death rates (asdr) for men and women, age specific fertility rates for women (asfr), domestic in migration and out migration rates for men and women, international in and out net migration for men and women, and the age specific national population.

Source

Umea kommun

Examples

data(assump_data)
str(assump_data)

Makes a local population projection and produce results for population components

Description

Makes a local population projection and produce results for population components

Usage

bef_components(startpop, assumptions, YEAR)

Arguments

startpop

This is the start population

assumptions

This is a Data Frame with assumptions

YEAR

This is the year from which the forecast starts

Value

The output from return

Examples

bef_components(startpop_data,assump_data,2019)

Makes a local population projection and produce results for growth per year.

Description

Makes a local population projection and produce results for growth per year.

Usage

bef_proj(startpop, assumptions, YEAR)

Arguments

startpop

This is the start population

assumptions

This is a Data Frame with assumptions

YEAR

This is the year from which the forecast starts

Value

The output from return

Examples

bef_proj(startpop_data,assump_data,2019)

Makes a local population projection and produce results for age, sex and year

Description

Makes a local population projection and produce results for age, sex and year

Usage

bef_raw(startpop, assumptions, YEAR)

Arguments

startpop

This is the start population

assumptions

This is a Data Frame with assumptions

YEAR

This is the year from which the forecast starts

Value

The output from return

Examples

bef_raw(startpop_data,assump_data,2019)

Startpopulation

Description

This is a Data Frame with a startpopulation. The ages reaches from 0 to 100. The start year is from 2019.

Usage

data("startpop_data")

Format

A data frame with 101 observations on the following 3 variables.

age

a numeric vector

women

a numeric vector

men

a numeric vector

Source

Statistiska centralbyran, SCB, Swedish statistics

Examples

data(startpop_data)
str(startpop_data)