##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