heemod 0.14.0

Breaking changes

  • argument “method” for run_model was inverted. Now “beginning” overestimates costs and “end” underestimates costs (#345 @zaddyzad)

heemod 0.13.0

Prepare for dplyr 1.0.0

Bugfixes

heemod 0.12.0

Bugfixes

  • Ready for tibble 3.0
  • look_up() displays a more informative message when searching several values at once

heemod 0.11.0

Backend changes

  • States are now length 2 lists:
    • .dots: the state values
    • starting_values: the state values when entering the state
  • Compatibility with dplyr 0.8: replaced all underscored (SE) versions of all verbs

Bugfixes

heemod 0.10.0

New features

heemod 0.9.4

  • Compatibility with dplyr v0.8

heemod 0.9.3

Backend changes

  • Remove Hmisc dependency for weighted summaries.

heemod 0.9.2

Breaking changes

New features

Bugfixes

  • Better error-checking in multinomial parameters definition.
  • Cleaner define_psa() back-end code, variables can now be used to define distribution parameters.
  • Handle cases when parameters depend on state_time but those parameters are not used by a strategy.
  • Empty calls to modify() are supported.
  • Fix error in survival vignette.

Backend changes

  • The development branch is now called master, the release branch is called cran.
  • Survival operation are wrapped in a common class.
  • Expansion code moved to own function.
  • Faster computation of expanded states.
  • Stricter dependency version management (to avoid install failures on an outdated system).
  • Removed dependency to tidyr.

heemod 0.9.1

Breaking changes

New features

  • NMB is now reported as relative values.

Bugfixes

  • Fixed error with run_dsa() in state expansion situations.

Backend changes

  • Multiple changes to prepare for the dplyr update 0.6.0.

heemod 0.9.0

heemod can now be cited with:

Filipovic-Pierucci A, Zarca K and Durand-Zaleski I (2017). “Markov Models for Health Economic Evaluations: The R Package heemod.” ArXiv e-prints. R package version 0.8.0, 1702.03252

Breaking changes

New features

  • Operations on survival functions, see vignette("j-survival"). Thanks to Jordan Amdahl.
  • Model calibration with calibrate_model(). Thanks to Matthew Wiener.
  • State membership correction works for partitioned survival model.
  • Custom state membership correction functions can be passed to the method argument of run_model().
  • get_who__mr() can take a region argument, and automatically pool results when sex is not passed.
  • Additional DSA plotting options.

Bugfixes

Backend changes

  • Renamed memoised functions.
  • NSE aliases (*_) to survival operation functions.

heemod 0.8.0

Breaking changes

  • strategy becomes a reserved parameter name.
  • Counting method "half-cycle" is deprecated.
  • resample argument in run_psa() renamed to psa.
  • Probability distributions for PSA were renamed, see ?distributions.
  • state_cycle renamed to state_time, added a model_time alias to markov_cycle.
  • The inflow argument for budget impact analysis is specified with define_inflow().
  • prob_to_prob()=>rescale_prob().

New features

  • Transition probabilities from survival models with get_probs_from_surv():
    • Parametrically defined by define_survival().
    • Or fitted on data by the flexsurv package.
  • Support for partitioned survival models with define_part_surv().
  • Plot EVPI.
  • Export PSA files for Sheffield Accelerated Value of Information software.
  • Individuals can enter the model after the beginning with the inflow argument in run_model() (mainly for budget impact analysis).
  • Strategy name can be used to define values with dispatch_strategy() or using the strategy name (vignettes homogeneous and probabilistic have been updated to use this feature).
  • Beta and triangle distributions for PSA.
  • Custom distributions can be defined.
  • Co-variance analysis on strategy differences, more options for gam() fitting.

Other features

  • Convenience function rescale_discount_rate().
  • Better error messages at parameter evaluation.
  • combine_probs(): given several independent probabilities of an event, return the total probability of the event.
  • More informative error messages for incorrect matrices.
  • Infinite parameter values generate an error.
  • New parameters can be added with modify().

Backend changes

  • Cleaner handling of clusters.
  • Package diagram, Hmisc and logitnorm moved from Imports to Suggests.

Bugfixes

  • Fixed several bugs that would return incorrect efficiency frontiers in some situations, or would return duplicated strategy names in some edge cases (thanks to Vince Daniels).
  • Fixed a failure of tabular input when a column could be read as all numeric.
  • Character variables from newdata were mistakenly parsed as lazy expressions.
  • newdata now handles factor variables.
  • state_cycle_limit was not passed to PSA, DSA, or updating.
  • PSA and DSA tabular files were not saved.

Acknowledgments

  • Thanks to Matthew Wiener, especially for the survival analysis code.

heemod 0.7.1

Bugfixes

  • Fixed an error resulting in incorrect co-variance analysis results when relations between values and parameters were negative.

heemod 0.7.0

Breaking changes

  • Some plotting arguments changed (e.g. type=>results).

New features

  • Added co-variance analysis for PSA with type = "cov" plot.
  • All plotting functions can now represent multiple strategies with facets.
  • CECA plotted on a log scale by default.
  • Black & white plots for publications with the bw plot option.
  • Remove variables that are not sensitive in DSA with remove_ns.

Backend changes

  • Important object structure change (from attributes to lists).
  • More systematic use of getter functions.
  • More standardized processing of model objects.
  • Unit tests rely less on printed results.
  • Using new nomenclature in back-end functions (model=>strategy).
  • base_strategy divided in 3 concepts: central_strategy, root_strategy, noncomparable_strategy.
  • Non-heemod versions of discount() throw warnings.

heemod 0.6.0

Breaking changes

  • Base model cannot be specified anymore: it is always the least costly model.
  • Renamed argument transition_matrix => transition in define_strategy().

New features

  • Parallel computing with use_cluster().
  • Compute average values from PSA.

Bugfixes

  • Acceptability curve returns probabilities at 0.
  • Correctly identify efficiency frontier.
  • ICER are computed on the efficiency frontier.

Acknowledments

heemod 0.5.1

Bugfixes

  • Added formatR to suggest list.

heemod 0.5.0

Breaking changes

New features

  • Values and probabilities can depend on state time with state_cycle, allowing to reproduce the results of micro-simulations.
  • define_sensitivity() now accepts any expression as input, and can call references to model parameters.
  • Discount rates can now be specified as parameters (allows for rates to be modified in DSA & PSA).
  • Any state value can be plotted.
  • Additional output: csv files for many of the tabular results.

Bugfixes

  • Edges where P=0 are not plotted anymore for transition matrices.
  • There used to be a potential error when you wanted to save output but there had been no psa.

heemod 0.4.0

New features

  • update() for heterogeneity analysis and to compute population-level values, with vignette.
  • run_models_tabular() to import models from tabular input, with vignette.
  • look_up() to look up values from external data.
  • Added option to pool female and male mortality rates in WHO data.
  • Counting method now defaults to life-table.
  • plot_sensitivity() now plots by default the widest bar on top.
  • Convenience functions for converting rates to probabilities.
  • Models can be run without state values, to compute counts only.
  • Much more informative error messages.
  • Objects can be converted to the R code to generate them (same idea as dput(), but easier to read).
  • New options heemod.verbose and heemod.memotime.
  • More informative messages, especially in verbose mode.
  • Use WHO data cached locally in case of connection problems.
  • New functions: get_counts() and get_init() to get state membership counts.
  • Smart sex code conversion for get_who_mr().

Bug fixes

  • really fixed problem when the argument to discount() was not defined as a parameter.

Backend changes

  • eval_model_newdata(), the function behind re-sampling and sensitivity analysis now returns list-variables.

Acknowledments

heemod 0.3.3

New features

  • Added a vignette to exactly reproduce results from Decision Modelling for Health Economic Evaluation.

Bug fixes

  • Fixed problem when argument to discount() was not defined as a parameter.
  • Corrected several errors in the vignettes (thanks to Michael Schenkenberg from SBU, Stockholm, Sweden).
  • Updated mortality rate tests to reflect GHO database update.

heemod 0.3.2

Bug fixes

  • Fix mishandling of matrix index with C in eval_matrix() (thanks to Matthew Wiener).
  • Fix problem with upcoming version of tidyr.

heemod 0.3.1

Backend changes

  • A single set of parameters is now used for a set of models.

Bug fixes

  • Correct error in probabilistic analysis vignette.
  • Fix incompatibility with upcoming dplyr update.

heemod 0.3.0

New features

  • shiny interface.
  • Added support for different counting options.
  • get_who_mr() to extract mortality rates from WHO data.

heemod 0.2.0

New features

  • Added ability to plot matrix.
  • Added framework for probabilistic uncertainty analysis.
  • Written vignette for probabilistic and sensitivity analysis.
  • Added complement alias for matrix definition.
  • run_* functions now output a single table instead of a list of tables.
  • Variables corresponding to cost and effect must now be specified in run_models().
  • Plotting for sensitivity and probabilistic analysis.

Bug fixes

  • added *_ functions.

Removed

  • run_model_newdata() cannot run uneval_model anymore.
  • Removed need to use define_state_list().

heemod 0.1.0

  • Initial CRAN submission.