Changes in version 1.3.2 (2025-05-31) - change: fix a bug in the cal_fit_dataset when doing run_fit with hill bootstrap with a specific direction - change: add more descriptions on CARR parameter - change: update the vignette for the parallel computing Changes in version 1.3.1 (2024-01-09) - new: add a vignette for using parallel computing in Rcurvep package - change: use furrr::future_pmap for the combi_run_curvep() and use furrr::future_map for the run_fit() Changes in version 1.3.0 - new: add java curve class2 as the model Changes in version 1.2.1 (2022-08-25) - change: fix a bug in get_base_cols when only one set available (act_set, resp_set, fp_set) when doing the merge_rcurvep_objs Changes in version 1.2.0 (2021-01-07) - new: allow to merge rcurvep objects, merge_rcurvep_objs() - new: allow to inactivate curves by row index and add flag in comments - new: add seed parameter in the curvep_defaults() - new: allow to input seed in the combi_run_rcurvep() - change: fix ECxx is missing when summarizing the bootstrap results of the fit Changes in version 1.1.0 - change fix a critical bug in curvep() related to the masking Changes in version 1.0.1 - change: fix get_base_cols() Changes in version 1.0.0 - new: a rewrite of the project Changes in version 0.6.0 - new: print.rcurvep_thres_stats() -> print() - change: run_curvep_job() -> run_curvep_batch() - change: extract_curvep_data() -> withdraw.rcurvep_out_nested() -> withdraw() - change: reparam_curvep_job() -> reparam.rcurvep_out_nested() -> reparam() - change: extract_curvep_data(summary = TRUE) -> summary.rcurvep_out() -> summary() - change: identify_basenoise_threshold() -> get_baseline_threshold() - change: generate_diagnostic_plot() -> plot.rcurvep_thres_stats() -> plot() Changes in version 0.5.2 - change: fix comment_threshold() Changes in version 0.5.1 - new: summarize_curvep_output() to get confidence interval of activities by bypassing the extract_curvep_data() - change: use SSasymp to fit the exponential decay curve Changes in version 0.5 - new: add a method to calculate the baseline noise threshold based on the exponential fitting (thresDist_exp column) - new: statistical outputs from identify_basenoise_threshold() are reported ( y_exp_fit, y_lm_fit, dist2l_exp, cor_exp_fit, cor_lm_fit) - change: identify_basenoise_threshold() output becomes a list instead of a tibble; first element contains the statistical data and the second element contains the baseline noise threshold information - change: cal_exponential_inflection() is renamed as cal_knee_point() - change: p1, p2 => p1_raw, p2_raw; dist2l => dist2l_raw Changes in version 0.4.1 - new: add the abline line that is used to calculate distance in the diagnostic plot - new: add generate_diagnostic_plot() and cal_exponential_inflection() - new: add an comment (thresDistComment) that shows if the identified baseline threshold is usable - change: thresCurva approach is removed Changes in version 0.4 - new: add modifier parameter for extract_curvep_data() - new: add reparam_curvep_job() to recalculate based on run_curvep_job() complex output Changes in version 0.3.1 - change: expose the p1 and p2 for identify_basenoise_threshold() Changes in version 0.3 - new: simplify_output is added for run_curvep_job() to reduce the amount of output - change: levels in curvep() is separated into ECxx, Cxx, and xx - change: combine conc_hl to act function in extract_curvep_data() - change: input column became a list of list structure Changes in version 0.2.1 - change: TLOG(curvep.r) is to -24 Changes in version 0.2.0 - new: add diagnostic plot - change: the separate the id parameters into endpoint and direction parameters in identify_basenoise_threshold() Changes in version 0.1.0 - initial release