Title: Read Human Mortality Database and Human Fertility Database Data
person("Tim", "Riffe", role = c("aut", "cre"),
person("Jason", "Hilton", role = "aut"),
person("Josh", "Goldstein", role = "ctb"),
person("Stephen", "Holzman", role = "ctb"))
Description: Utilities for reading data from the Human Mortality Database (<https://www.mortality.org>), Human Fertility Database (<https://www.humanfertility.org>), and similar databases from the web or locally into an R session as data.frame objects. These are the two most widely used sources of demographic data to study basic demographic change, trends, and develop new demographic methods. Other supported databases at this time include the Human Fertility Collection (<http://www.fertilitydata.org/>), The Japanese Mortality Database (<http://www.ipss.go.jp/p-toukei/JMD>), and the Canadian Human Mortality Database (<http://www.bdlc.umontreal.ca/chmd/>). Arguments and data are standardized.

Description: Utilities for reading data from the Human Mortality Database (<https://www.mortality.org>), Human Fertility Database (<https://www.humanfertility.org>), and similar databases from the web or locally into an R session as data.frame objects. These are the two most widely used sources of demographic data to study basic demographic change, trends, and develop new demographic methods. Other supported databases at this time include the Human Fertility Collection (<https://www.fertilitydata.org>), The Japanese Mortality Database (<https://www.ipss.go.jp/p-toukei/JMD/index-en.html>), and the Canadian Human Mortality Database (<http://www.bdlc.umontreal.ca/chmd/>). Arguments and data are standardized.

Imports: XML, httr, rvest, dplyr, janitor, lubridate, readr, stringr,

Author: Scientific Software - Dr. Lin Himmelmann
Description: Easy to use library to setup, apply and make inference with discrete time and discrete space Hidden Markov Models.

Author: Scientific Software Development - Dr. Lin Himmelmann,
Description: Easy to use library to setup, apply and make inference
with discrete time and discrete space Hidden Markov Models