+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

------------------------- mdmb NEWS ---------------------------

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++


|\  /||~~\ |\  /||~~\
| \/ ||   || \/ ||--<
|    ||__/ |    ||__/
                     

mdmb:  Model Based Treatment of Missing Data

Alexander Robitzsch & Oliver Luedtke

Questions or suggestions about mdmb should be sent to
robitzsch@ipn.uni-kiel.de

In case of reporting a bug, please always provide a
reproducible script.

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++


~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
CHANGELOG mdmb
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~



---------------------------------------------------------------------
VERSIONS mdmb 0.4  |  2017-08-20  |  Last: mdmb 0.4-15
---------------------------------------------------------------------

NOTE  * speeded data processing in 'frm_em'
NOTE  * included Example 1.3 in 'frm' using the jomo package for 
        imputation under a substantive model containing interaction 
        effects
NOTE  * included example for estimation of model including latent
        interaction effects with 'frm_em' function
NOTE  * included argument 'log' in 'dt_scaled', 'dbct_scaled' and
        'dyt_scaled'
NOTE  * included more efficient computation of gradient in
        'logistic_regression', 'bct_regression' and 'yjt_regression'.
        Different computation methods can be chosen by the argument 
        'use_grad'. These gradients are now also used in 'frm_em'
        which results in some speed improvement.        
NOTE  * changed initial values in 'logistic_regression', 
        'bct_regression' and 'yjt_regression' to least-squares 
        solutions

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: frm (1.3, 7)


---------------------------------------------------------------------
VERSIONS mdmb 0.3  |  2017-07-12  |  Last: mdmb 0.3-11
---------------------------------------------------------------------

NOTE  * changed default in 'nodes_control' in 'frm_em' to use a
        wider integration grid for missing values
NOTE  * added information about standard error calculation in 'frm_em';
        reference Jamshidian and Jennrich (2000, JRSSB)
FIXED * fixed an error in the 'frm_em' function which was not yet 
        applicable for 'yjtreg' regression models

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: ---

---------------------------------------------------------------------
Versions 0.2  -- 2017-02-07  --  CRAN mdmb 0.2-0
---------------------------------------------------------------------

FIXED * fixed an error in initialization of sigma parameter in 
        mdmb::frm_fb function with 'linreg' imputation

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: ---

---------------------------------------------------------------------
Versions 0.1  -- 2017-01-25  --  CRAN mdmb 0.1-0
---------------------------------------------------------------------

INIT  * initial version of the package
ADDED * added functions for scaled t distribution with Yeo-Johnson
        transformation ('d_yjt_scaled', 'fit_yjt_scaled') and 
        Box-Cox transformation ('d_bct_scaled', 'fit_bct_scaled')
ADDED * added additional regression functions 'logistic_regression',
        'yjt_regression' and 'bct_regression'
ADDED * added function 'frm_em' for maximum likelihood estimation of
        regression models with missing covariates
ADDED * added function 'frm_fb' for fully Bayesian estimation of
        regression models with missing covariates. Imputations of
        missing values are provided.
NOTE  * included utility functions 'eval_prior_list',
        'eval_prior_list_sumlog', 'offset_values_extract' and
        'remove_NA_data_frame'

DATA  * included/modified datasets: data.mb01, data.mb02
EXAMP * included/modified examples: mbmb_regression (1,2,3,4,5),
        frm (1,2,3,4,5), yjt_dist (1,2,3,4,5)
