popstudy (version 1.0.0)

population_projection: population_projection

Description

Forecasting population using the components method.

Usage

population_projection(...)

Arguments

...

required arguments for mortality_projection, TFR_projection and netmigration_projection.

Value

population_projection returns an object of class list with the following components:

mort

mortality projections from mortality_projection.

fert

fertility projections from TFR_projection.

mig

netmigration projections from netmigration_projection.

pop

the national projections by sex and year.

See Also

mortality_projection TFR_projection netmigration_projection

Examples

# NOT RUN {
# }
# NOT RUN {
library(dplyr)

data(CR_mortality_rates_1950_2011)

#CR_mortality_rates_1950_2011 %>%
#write.table(.,
#file = "CR_mortality_rates_1950_2011.txt",
#sep = "\t",
#row.names = FALSE,
#col.names = TRUE,
#quote = FALSE)


data(CR_populations_1950_2011)

#CR_populations_1950_2011 %>%
#write.table(.,
#file = "CR_populations_1950_2011.txt",
#sep = "\t",
#row.names = FALSE,
#col.names = TRUE,
#quote = FALSE)

data(CR_fertility_rates_1950_2011)

#CR_fertility_rates_1950_2011 %>%
#write.table(.,
#file = "CR_fertility_rates_1950_2011.txt",
#sep = "\t",
#row.names = FALSE,
#col.names = TRUE,
#quote = FALSE)


data(CR_women_childbearing_age_1950_2011)

#CR_women_childbearing_age_1950_2011 %>%
#write.table(.,
#file = "CR_women_childbearing_age_1950_2011.txt",
#sep = "\t",
#row.names = FALSE,
#col.names = TRUE,
#quote = FALSE)

#result <- population_projection(mortality_rates_path = "CR_mortality_rates_1950_2011.txt",
#total_population_path = "CR_populations_1950_2011.txt",
#TFR_path = "CR_fertility_rates_1950_2011.txt",
#WRA_path = "CR_women_childbearing_age_1950_2011.txt",
#omega_age = 115, first_year_projection = 2011, horizon = 2020)


# }
# NOT RUN {
# }