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Rcurvep 0.1.0

• initial release

Rcurvep 0.2.0

• new: add diagnostic plot
• change: the separate the id parameters into endpoint and direction parameters in identify_basenoise_threshold()

Rcurvep 0.2.1

• change: TLOG(curvep.r) is to -24

Rcurvep 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

Rcurvep 0.3.1

• change: expose the p1 and p2 for identify_basenoise_threshold()

Rcurvep 0.4

• new: add modifier parameter for extract_curvep_data()
• new: add reparam_curvep_job() to recalculate based on run_curvep_job() complex output

Rcurvep 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

Rcurvep 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

Rcurvep 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

Rcurvep 0.5.2

• change: fix comment_threshold()

Rcurvep 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()

Rcurvep 1.0.0

• new: a rewrite of the project

Rcurvep 1.0.1

• change: fix get_base_cols()

Rcurvep 1.1.0

• change fix a critical bug in curvep() related to the masking

Rcurvep 1.2.0

• 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

Rcurvep 1.2.1

• 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

Rcurvep 1.3.0

• new: add java curve class2 as the model

Rcurvep 1.3.1

• 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()

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.