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serodynamics (development version)
New features
- Including fitted and residual values as data frame in run_mod output. (#101)
- Added
plot_predicted_curve() with support for faceting by multiple IDs (#68)
- Replacing old data object with new run_mod output (#102)
- Adding class assignment to run_mod output (#76)
- Making prep_priors modifiable (#78)
- Changes to
run_mod() output:
- Taking out
include_subs as an input option, default will include all individuals
- Making a single tbl as output
- All other pieces will be attributes.
- Changes to
run_mod() (#79):
-
jags.post now optionally included in output, as specified by argument with_post
- all subjects now optionally included in
curve_params output component, as specified by argument include_subs
- Diagnostic function to produce R-hat dotplots with stratification (#67)
- Added function for summarizing estimates in a table (#74)
- Diagnostic trace plot function with strat (#64)
- Diagnostic function to produce effective sample size plots with stratification (#66)
- Diagnostic function to produce density plots with stratification (#27)
- Added SEES data set data folder and documentation (#41)
- Fixing SEES data and added jags_post for SEES (#63)
-
as_case_data() now creates column visit_num (#47, #50)
- Added
postprocess_jags_output() to API (#33)
- Added
initsfunction() to API (#37)
- Added participant IDs as names to
nsmpl element of prep_data() output (#34)
- Added
initsfunction() to API (#37)
- Added
as_case_data() to API (#31)
- Added
prep_priors() to API (#30)
- Added
autoplot() method for case_data objects (#28)
- Added examples for
sim_pop_data(), autoplot.case_data() (#18)
- Added attributes as a return to the run_mod function (#24)
- exported
run_mod() function (#22)
- Function that runs jags with option of stratification included. (#14)
- Changed package name to serodynamics. (#19, #20)
serodynamics 0.0.0
Started development.