Changelog
conmat 0.0.2.9000
Changes
-
Adds new functions:
-
age_breaks()
accessor function forconmat_setting_prediction_matrix
setting_prediction_matrix()
-
as_setting_prediction_matrix()
for coercing lists into asetting_prediction_matrix
-
transmission_probability_matrix()
for creating new transmission probability matrices
-
there is now a print method for age group information in setting matrices - #139
improved age break checking #138
extended
add_school_work_participation()
,add_modelling_features()
,fit_single_contact_model()
,fit_setting_contacts()
,estimate_setting_contacts()
to use different school and work demographics arguments. (#82 and #15, resolved by #153).
Breaking changes
- change
get_per_capita_household_size
toget_abs_per_capita_household_size
- change
get_data_abs_age_work
toabs_age_work
- change
get_data_abs_age_education
toabs_age_education
- change
get_household_size_distribution
->get_abs_household_size_distribution
- change
abs_household_size_population
->get_abs_household_size_population
- change
abs_per_capita_household_size_lga
->get_abs_per_capita_household_size_lga
- change
abs_per_capita_household_size_state
->get_abs_per_capita_household_size_state
-
abbreviate_states
->abs_abbreviate_states
-
unabbreviate_states
->abs_unabbreviate_states
conmat 0.0.1.9000
Changes
- new
conmat_age_matrix
class, replacesconmat_prediction_matrix
, knows about its age breaks - accessor method,
age_breaks()
, which accesses age break information - updated autoplot method for
conmat_age_matrix
- accessor method,
raw_eigenvalue()
for getting the raw eigenvalue from a next generation matrix, “ngm_setting_matrix”. - accessor method,
scaling
for getting the value of R_target/raw eigenvalue. - add
autoplot
methods for ngm, vaccination, and transmission probability
Breaking Changes
-
generate_ngm
no longer accepts LGA or state inputs, which now occurs ingenerate_ngm_oz
. Thegenerate_ngm
function has had S3 methods created for it, so it can take input fromconmat_population
(such as the output from [abs_age_lga()]), or aconmat_setting_prediction_matrix
, which is the output from [extrapolate_polymod()] or [predict_setting_contacts()].
conmat 0.0.0.9004
- Added a
NEWS.md
file to track changes to the package. - Decouple prediction and estimation of models with
fit_setting_contacts
to fit models, andpredict_setting_contacts
to predict. Fixes #7 - Implement parallelisation with
furrr
. Resolves #31 - Change argument of
fit_setting_contacts
fromsurvey_population
to justpopulation
- Reduce vignette size, closes #28
- Add transmission probability data from Eyre et al., closes #39
- Add household adjustment - #41
- Added setting weights, related to #44 (but no longer Eyre weights)
- Added
apply_vaccination
to take in vaccination rates of ages and apply to contact matrices #40 - Data from
get_polymod_population
has been revised as a result of the socialmixr package being updated to version 0.2.0, where the world population data has been updated to 2017 by switching from the wpp2015 to wpp2017 package. We have explored the new data and found it to be very similar and should not introduce any errant errors. See the exploration here. - Added new print methods for:
conmat_setting_prediction_matrix
,conmat_prediction_matrix
,ngm_setting_matrix
,setting_contact_model
,setting_vaccination_matrix
, andsetting_data
, see #116. Main change is that list objects don’t return the entire list and output but a summary of the list contents and details on what that object contains. - Added a new S3 method for
conmat_population
to avoid fragile use of thelower.age.limit
variable name. This resolves #77.