# dexter 1.08

* added extra argument to `coef.prms` to retrieve vraiance-covariance matrix or posterior of
item parameters
* bugfix: x-axis scaled incorrectly when plotting parameters for Bayesian calibration
* update examples for updated cran check in 3.4

# dexter 1.07

* adapting to an update in tibble

# dexter 1.06

* specific workarounds for (cran) solaris

# dexter 1.05

* Almost sure this release finally fixes the solaris issues

# dexter 1.04

* added systemrequirements to description in the hope that it will solve solaris issues

# dexter 1.0.3

* fixed bug that caused an error message on some apple computers when using a matrix datasource

* removed unit tests for Solaris as we have no way to test on solaris, in effect this means dexter does not support solaris anymore

# dexter 1.0.2

* solved bug: accidental change of input data.frame in ability

* solved bug: unnecessary error message when input parameters are data.frame

# dexter 1.0.1

* weighted likelihood estimate option in `ability()` and `ability_tables()`

* added function `r_score_IM()` for simulation of item responses according to the interaction model

* added function p_score which provides conditional score distributions

* ability, plausible_values and plausible_scores accept a tidy data.frame of parameters

* it is now possible to use `get()` in predicates

* bugfix for mixed up plots in the interaction model when using a matrix dataSrc

* bugfix: reinstated check for unobserved zero score categories in fit_enorm (check was accidentally removed in 1.0)

* bugfix: uppercase letters in variable names in profile_plot work again



# dexter 1.0.0

## Breaking changes

* the interfaces for the standard setting functions have changed, these functions have new names and different arguments

* the interface for probability_to_pass has changed

* the name of the column 'sumScore', outputted by a number of functions, has changed to 'booklet_score'

## other changes

* dataSrc may now also be a wide format data matrix (in addition to a database or a long format data.frame)

* fit_enorm, ability and plausible_values have an extra argument 'merge_within_persons' which determines if different booklets for the same person are combined

* plausible_values can use a normal or a mixture prior

* the dependency on dbplyr has been removed. This again allows the use of data.frame columns in predicates (this caused error messages when using dbplyr 1.4+)

* generally faster due to the excellent Rcpp and RcppArmadillo packages


# dexter 0.8.5

* new function `design_info()` returns extensive information about incomplete test designs. Functions `design_as_network()` and `design_is_connected()` are deprecated.

* correction for a bug which caused NA's in plausible values for booklets with 1 respondent and nPV>1

# dexter 0.8.4

* Tiny changes for compatibility with dependencies

# dexter 0.8.3

* correction of a bug in 0.8.2 which caused coef.prms to fail with calibration method Bayes

# dexter 0.8.2

* new functions `information()` and `expected_score()` for tests and items in the ENORM.

* change in the algorithm for MLE estimation method in ability and ability_tables. The new algorithm is
  more precise so small changes in (the lower digits of) computed theta values may occur with respect 
  to previous versions of dexter.
  
* corrected a bug in the reporting of standard errors for Bayesian estimation of the ENORM. The
  SE's reported in previous versions of dexter were too high.
  
* corrected bug in plot for DIF (item labels were reversed) introduced in 0.8.0


# dexter 0.8.1

* significant speed increases in plausible_values, plausible_scores, ability and ability_tables

* added plot method for the extended nominal response model

* new function `add_response_data()` for importing normalized data

# dexter 0.8.0

* `profiles()` and `profile_tables()` functions added for analysis of individual deviation profiles
  (misfit) compared to the fitted model.

* bugfix for solaris

* You may want to take a look at the new sister package, dextergui


# dexter 0.7.0

* support for RSQLite release 2.1.0+ which broke dexter 0.6.0. 

* `probability_to_pass()` function added for equating to a reference test that is 
  connected to a target test.


# dexter 0.6.0

* `ability_tables()` function added to generate score transformation tables 
  for arbitrary subsets of items. `ability()` and `ability_tables()` can now also 
  take Jeffreys prior and variatons of the normal prior and can optionally 
  output standard errors.
  
* `plausible_scores()` function added to generate scores on arbitrary itemsets
  (or the entire bank). 
  
* Updates to documentation.


# dexter 0.5.1

* `plausible_values()` can now work with covariates. 

* `fit_enorm()` can optionally take fixed_parameters into account. 

* Significant speed increases in profile_plot, iTIA and iModels and minor speed increases in other functions.

* Further includes more user control over plotting parameters, updates to documentation, several bugfixes and some
  smaller updates.


# dexter 0.4.4

* included Rdpack in Imports at the request of CRAN, and fixed 4 minor bugs

# dexter 0.4.2

We go straight from version 0.1.7 to version 0.4.2 in a major new release.
The functionality envisaged for two other related packages, enorm and 
roger, has now been all incorporated into dexter.

* The database has been completely rewritten. Databases created with 0.1.7 can
  be imported but are no longer maintained.
  
* Many functions now support flexible subsetting of data through a predicate
  expression; furthermore, the data source can be either the dexter database
  (more usual), or a data frame or tibble. The latter can be useful in simple
  simulations or in some non-standard situations.
  
* Basic test and item analysis has been extended with two interactive tools
  based on shiny, and with an exploratory tool to search for DIF. 

* Version 0.4.2 estimates the Extended NOminal Response Model (ENORM) by
  either CML or a Gibbs sampler, computes person scores by either MLE, EAP,
  or plausible values, and provides a new test for the hypothesis of no true
  individual differences. In addition, it supports a method for standard
  settings known as 3DC. 

* Several vignettes have been added to explain the new features in detail.
