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_sizetoget_abs_per_capita_household_size - change 
get_data_abs_age_worktoabs_age_work - change 
get_data_abs_age_educationtoabs_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_matrixclass, 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, 
scalingfor getting the value of R_target/raw eigenvalue. - add 
autoplotmethods for ngm, vaccination, and transmission probability 
Breaking Changes
- 
generate_ngmno longer accepts LGA or state inputs, which now occurs ingenerate_ngm_oz. Thegenerate_ngmfunction 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.mdfile to track changes to the package. - Decouple prediction and estimation of models with 
fit_setting_contactsto fit models, andpredict_setting_contactsto predict. Fixes #7 - Implement parallelisation with 
furrr. Resolves #31 - Change argument of 
fit_setting_contactsfromsurvey_populationto 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_vaccinationto take in vaccination rates of ages and apply to contact matrices #40 - Data from 
get_polymod_populationhas 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_populationto avoid fragile use of thelower.age.limitvariable name. This resolves #77.