After a change in the name of the functions to estimate the rates, now called estimate_fertility_rates() and estimate_mortality_rates(),
when calling the R documentation, in the usage we get
It should be better to unify the terms: estimate instead of retrieve and get.
In the explanation of the arguments, age_min_fert has the explanation for age_max_fert (numeric. Upper-bound age of female reproductive period) It should be Lower-bound. Also, age_max_fert is missing.
In the case of mortality, we have the same problem:
In the usage, it uses the term estimate
estimate_mortality_rates(
opop,
final_sim_year,
year_min,
year_max,
year_group,
age_max_mort,
age_group
)
Okay, I agree. So I will change this all to estimate_mortality_rates and estimate_fertility_rates where appropriate. retrieve_kin will remain retrieve_kin.
After a change in the name of the functions to estimate the rates, now called estimate_fertility_rates() and estimate_mortality_rates(), when calling the R documentation, in the usage we get
estimate_fertility_rates( opop, final_sim_year, year_min, year_max, year_group = 5, age_min_fert = 15, age_max_fert = 50, age_group = 5 )
But in the example:
Retrieve age-specific fertility rates
asfr <- get_asfr_socsim(opop = opop, final_sim_year = 2021, year_min = 1750, year_max = 2020, year_group = 5, age_min_fert = 10, age_max_fert = 55, age_group = 5)
It should be better to unify the terms: estimate instead of retrieve and get. In the explanation of the arguments, age_min_fert has the explanation for age_max_fert (numeric. Upper-bound age of female reproductive period) It should be Lower-bound. Also, age_max_fert is missing.
In the case of mortality, we have the same problem:
In the usage, it uses the term estimate estimate_mortality_rates( opop, final_sim_year, year_min, year_max, year_group, age_max_mort, age_group )
But in the example it shows Retrieve and get
Retrieve age-specific mortality rates
asmr <- get_asmr_socsim(opop = opop, final_sim_year = 2021, year_min = 1750, year_max = 2020, year_group = 5, age_max_mort = 110, age_group = 5)