# jackknifeR 2.0.0

* Resolved several bugs
* Made changes to the `jackknife()` for efficient parallel processing
* Restructured wrapper functions for efficiency.
* Added the function `jackknife.lm.weighted()` for weighted jackknife SE

# jackknifeR 1.2.0

* Updated the functions with provisions for parallel processing.
* Wrapper functions are corrected for efficiency.

# jackknifeR 1.0.1

* Updated summary function in example

# jackknifeR 1.0.0

* Version release

# jackknifeR 0.2.0

* Added summary.jk function
* Added print.jk function
* Added print.summary.jk function 

# jackknifeR 0.1.2

* Added specification of confidence level in the functions
* Restricted the maximum number of sub-samples
* Set default value for d 
* Added a function for jackknifing in custom estimation function

# jackknifeR 0.1.1

* Added a `NEWS.md` file to track changes to the package.
* Updated DOI formats
* Added reference sources in DESCRIPTION
* Checked for spelling errors
