##change / RobustCalibration 0.5.6
* Re-upload to CRAN due to the temporal removal of RobustGaSP

##change / RobustCalibration 0.5.5
* Enable emulator to be used for predict_MS
* Change the default setting of first p_theta term of sd_proposal to be 0.05 of the theta range 
* Change the default setting of sd_proposal_theta in rcalibration_MS to be 0.05 of the theta range
* Update the nugget in rcalibration_MS
* Update Rd files relevant to this issues 

##change / RobustCalibration 0.5.4
* Add more descriptions in Rd files of argument
* Enable check for kernel_type and if a wrong kernel_type is supplied, the function will stop 
* Allow users to pass more arguments in rcalibration and rclibration_MS functions
* Output the predictive discrepancy in the predict.rcalibration function

##change / RobustCalibration 0.5.3
* Fix a typo in rcalibration_MS when there is not discrepancy 
* fix typos for the rcalibration_MS function
* Fix typos in Sample_delta relevant to rcalibration_MS function when measurement bias presents
* Fix typos for record_interval in predict_MS_no_measurement_bias 
* Fix typos for interval_data related to reparameterization in predict_MS
* Allow one to use specify initial value of posterior sampling using rcalibration
* output more functions for testing the package



##change / RobustCalibration 0.5.2
* code maximum likelihood estimator by argument "method" in rcalibration and rcalibration_MS
* ppgasp function from RobustGaSP package is called for emulating expensive simulator with vectorized output
* allow user to specify replications specifying different types of observations in rcalibration 
* introduce a default scaling parameter lambda_z in rcalibration, rcalibration_MS

## change / RobustCalibration 0.5.1
  * fixed the bug (appearing on line line 147 in rcalibration()) with an emulator.
  * created rcalibration_MS() and rcalibration_MS class for calibrating mathematical models for multiple sources.
  * created predict_MS() for prediction after calibrating mathematical models
  * created predictobj.rcalibration and predictobj.rcalibration_MS classes for the output for the predict() and predict_MS() function