v0.2.14

• Avoid an error during testing, on R built --without-long-double.

v0.2.13

• Fix an issue introduced in v0.2.12 that led to an unexpected error in
  shape() when 1) at least two group_names are specified in an order other
  than alphabetic and 2) geographic modifier_data is used.

v0.2.12

• Allow modeling of unobserved groups using aggregated data. The previous behavior was to drop rows in aggregate_data indicating zero trials. (They don't represent item responses.) Preserving them has the effect that unobserved groups, defined partially or entirely by the values of the grouping variables in zero-trial rows in aggregate_data, can be included in a model.
• Fix an unexpected error when 1) aggregate_data is used without item_data, 2) no demographic groups are specified via group_names, and 3) geographic modifier_data is used.
• Fix the check for missing modifier_data. Geographic modifier_data must cover all combinations of the geo and time variables in the item response data (individual or aggregated), but because of a bug in the validation of the geographic data, this requirement was not always enforced. In some cases a warning would appear instead of an error.

v0.2.11

• Add poststratification over posterior samples (closes #21).
• shape() now accepts aggregated item response data unaccompanied by
  individual-level item response data. The item_data and item_names
  arguments are no longer required.
• Add a max_raked_weight argument to shape() for trimming raked weights.
  Note that trimming occurs before raked weights are rescaled to have mean 1,
  and the rescaled weights can be larger than max_raked_weight.
• Remove the unused function expand_rownames().
• Bugfixes.

v0.2.10

• Remove Rcpp dependency by rewriting dichotomize() in R.
• Avoid estimating models (using RStan) during tests, with the goal of rendering moot variation in build environments. This addresses a test failure during CRAN's r-release-osx-x86_64 build.

v0.2.9

• Switch from compiling Stan models at install time to compiling them at
  runtime, avoiding an Rcpp module issue.
• Add model argument to dgirt() and dgmrp() taking for reuse a previously
  compiled Stan model, as found in the @stanmodel slot of a dgirt_fit- or
  dgmrp_fit-class object.
• The version argument to dgirt() and dgmrp() can be used to specify
  arbitrary .stan files on the disk in addition to those included with the
  package.
• Argument by to get_n() and get_item_n() methods properly accepts a
  vector of variable names when combined with aggregate arguments.

v0.2.8

• Improve Stan models for shorter run times
• Add dgmrp() for fitting single-issue MRP models with hierarchical covariates
• Add class dgmrp_fit for models fitted with dgmrp(), inheriting from a new
  virtual class dgo_fit
• dgirt() now returns a dgirt_fit-class object that also inherits from
  dgo_fit class
• Bugfixes