## dgo 0.2.14

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

## dgo 0.2.13

* 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.

## dgo 0.2.12

* 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.

## dgo 0.2.11

* 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.

## dgo 0.2.10

* 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](https://www.r-project.org/nosvn/R.check/r-release-osx-x86_64/dgo-00check.html)
  build.

## dgo 0.2.9

* 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.

## dgo 0.2.8

* 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

## dgo 0.2.7

* Package renamed dgo: Dynamic Estimation of Group-level Opinion
* Tweaks to pass CRAN checks: clean up examples and docs
* Use roxygen2 for classes, methods, and `NAMESPACE`
* Fix checks on `P`, `S` related to `group_names` change in 0.2.5
* Fix Rcpp module issue from 0.2.6 (`Error in .doLoadActions(where, attach)`)
* Export `expand_rownames()`
 
## dgo 0.2.6

* Fix error in `dgirt_plot`
* Fix path in `tools/make_cpp.R`

## dgo 0.2.5

* `group_names` is no longer required. If omitted, the geographic variable given
  by `geo_name` will define groups.
* `aggregate_item_names` is no longer required. It defaults to the observed
  values of the `item` column in `aggregate_data`.
* `raking` argument to `shape()` replaces `strata_names`. It takes a formula or
  list of formulas and allows more complicated preweighting.
* `id_vars` argument to `shape()` specifies variables to be kept in `item_data`.
* `aggregate_data` may include geographic areas, demographics, or time periods
  that don't appear in `item_data`.
* Fix: use a smaller epsilon than the default in survey::rake() for convergence
  with non-frequency weights.
* New `dgirtfit` methods `rhats()` and `plot_rhats()` for model checking.
* New `dgirtfit` method `get_time_elapsed` gives model run times. These also
  appear in `summary` output.
