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

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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.

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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
CHANGELOG mdmb
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---------------------------------------------------------------------
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
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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)