vital 2.1.0
- Updated to work with fabletools v0.7.0+
read_stmf() now takes username and
password arguments, as the HMD now requires a login to
download STMF data.
model() now estimates models in parallel when the
future package is attached, as in fabletools (the previous
implementation never ran)
interpolate() now works for FNAIVE(),
LC(), FDM() and GAPC models
(APC(), CBD(), etc.), as well as
FMEAN()
autoplot() now plots the age, period and cohort
components of GAPC models (GAPC(), LC2(),
CBD(), APC(), RH(),
M7() and PLAT())
tidy() now returns the coefficients of
LC(), FDM(), FNAIVE() and GAPC
models in long form (term and estimate, with
the age, time or birth year to which each refers)
LC(), FDM(), FMEAN() and
FNAIVE() now give an error for unused arguments, so
misspelled arguments are no longer silently ignored
- Many bug fixes, documentation improvements, more informative errors,
and speed ups.
vital 2.0.3
- Added default ARFIMA modelling for coherent FDM
- Fixed to work with fabletools v0.6.0+
vital 2.0.2
- Fixed to work with dplyr v1.2.0
vital 2.0.1
- Updated HMDHFDplus dependency to v2.08+
vital 2.0.0
- New data functions:
read_ktdb(),
read_ktdb_files(), read_stmf(),
read_stmf_files()
- New model functions:
GAPC(), PLAT(),
M7(), RH(), CBD(),
LC2()
- New smoothing function:
smooth_mortality_law()
- New stochastic simulation function:
generate_population()
- Added vignette introducing the package
- Added vignette on stochastic population forecasting
- Removed Australian data sets to reduce package size
- Updated Norwegian data sets
- Bug fixes and unit tests
vital 1.1.0
- Improved formatting of vital objects when printed
- Added
vital_vars() function
- Added
age_components() methods for
FNAIVE() and FMEAN() models
- Data before 1900 removed from
norway_xxx data sets
vital 1.0.0