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
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