# mpactr 0.3.3
* Minor naming inconsistencies inside the package. All imported peak_tables names that are not in the `injection` column of the metadata file will be converted to lowercase.
# mpactr 0.3.2
* Updated mpactr so that all column names inside the metadata file are lowercase. You may still enter you data with uppercase column names, but we will force all data inside the metadata file to be lowercase. This change happens within the `import_data()` function.
* Updated vignette to reflect current changes. 
* Renamed the `get_meta_data()` to `get_metadata()`.

# mpactr 0.3.2
* Updated mpactr so that all column names inside the metadata file are lowercase. You may still enter you data with uppercase column names, but we will force all data inside the metadata file to be lowercase. This change happens within the `import_data()` function.
* Updated vignette to reflect current changes. 
* Renamed the `get_meta_data()` to `get_metadata()`.

# mpactr 0.3.1

* Fixed the Valgrind memory issues. This package should now work with valgrind, clang-asan, and gcc-asan.

* Updated documentation for `filter_cv()` to reflect current changes.

* Updated vignette to reflect `filter_cv()` changes.

* Added a `limit_cores()` function to limit cores used when going through CRAN checks.

# mpactr 0.3.0

* Major changes to `filter_cv()`. Old `filter_cv()` would calculate the coefficient of variance of the biological groups, calculate the average/median, and remove the feature if the average/mean was above the threshold. To account for some groups having high variation by default, the new `filter_cv()` will now zero out groups if they are above the threshold. If every group in the feature has been zeroed out, we will remove the feature. 

* `filter_cv()` has been optimized to use c++ code, so there should be significant speed improvements.

* You are also now able to import `data.frames` for peak table input in `import_data()`.

# mpactr 0.2.1

# mpactr 0.1.0

# mpactr 0.1.0

* Initial CRAN submission.

* Contains four main filters: `filter_mispicked_ions()`, `filter_group()`, `filter_cv()`, and `filter_insource_ions()` for the correction of tandem MS/MS peaks.


