RELEASE HISTORY OF THE "zCompositions" PACKAGE
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CHANGES IN zCompositions VERSION 1.0.3 [2014-09]:
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NEW FEATURES

* Support for multiple limits of detection/threshold values by component.
* Choice for storing multiply imputed data sets in lrDA function.
* multKM: new non-parametric imputation method added.
* splineKM: visualisation of Kaplan-Meier and cubic spline smoothed empirical cumulative distribution function (helper function for multKM).
* New example data set included (Water).

MODIFICATIONS

* Alternative imputation by multRepl in lrEM and lrDA of censoring patterns with only one observed component.

* Fixed problem that caused error when a censoring pattern consisted of a single sample.

* Improved documentation.

CHANGES IN zCompositions VERSION 1.0.1 [2014-06]:
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* Minor bugs in error messages fixed.

* cmultRepl: label argument added (default label = 0).

CHANGES IN zCompositions VERSION 1.0.0 [2014-05]:
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NEW FEATURES

* cmultRepl function: bayesian-multiplicative replacement of compositional count zeros included.

* lrDA function: data augmentation algorithm, including multiple imputation, to replace left-censored values.

* zPatterns function: summarises the patterns of unobserved values (censored, nondetects, ...) in a data set and generates a vector of labels.

MODIFICATIONS

* General revision and optimisation. Documentation improvements.

* multLN: parameter estimates based on the normal distribution on the positive real line. Random imputation based on truncated normal instead of rejection method.

* Re-scaling to preserve ratios that leaves absolute observed values unaltered when working with non-closed data now implemented for all the methods (continuous data). 

* The replacement methods include an argument 'label' allowing the user to enter the label (special character, number, ...) denoting unobserved value in a data set.

* Error handling introduced.

* New lrEM function: replaces previous alrEM function and implements both ordinary and robust EM-based imputation methods. New arguments allow to specify the method to obtain initial estimates and the convergence criterion.



