SpainNat | R Documentation |
Data from the Spanish national of Spain from the Spanish National Institute of Statistics (INE) for both genders years 1991-2020 and abridged ages from 0 to 90. This dataset contains mortality rates for the total national population of Spain. Additionally, the dataset includes the number of people alive (lxt) for each age and period.
SpainNat
A data frame with 600 rows and 9 columns with class "CVmortalityData"
including the following information
ccaa
a vector containing all the regions of Spain. Indeed, the column takes the following information: Spain.
years
a vector containing the periods of the dataset from 1991 to 2020.
ages
a vector containing the abridged ages considered in the dataset, 0, <1, 1-4, 5-9, 10-14, 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75-79, 80-84, 85-89, and 90-94.
qx_male
mortality rates for the males in the Spain Nation.
qx_female
mortality rates for the females in the Spain Nation.
lx_male
survivor function considered for the males of Spain Nation.
lx_female
survivor function considered for the females of Spain Nation.
series
information for the series of data provided.
label
the assigned tag to the data frame.
Spanish National Institute of Statistics (INE) (2023). Tablas de mortalidad, metodologia. Technical report, Instituto Nacional de Estadistica
#The example takes more than 5 seconds because it includes
#several fitting and forecasting process and hence all
#the process is included in donttest
#In this case, we show the region dataset applying it to a multipopulation model.
#First, we present the dataset
SpainNat
#An example to how the additive multi-population model fits the data
ages <- c(0, 1, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90)
library(gnm)
LC_Spainmales <- fitLCmulti(qxt = SpainNat$qx_male,
periods = c(1991:2020),
ages = ages,
model = "additive",
nPop = 1)
LC_Spainmales
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