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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

CRAN release: 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

Rcurvep 1.2.1

CRAN release: 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

Rcurvep 1.3.0

  • new: add java curve class2 as the model

Rcurvep 1.3.1

CRAN release: 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()

Rcurvep 1.3.2

  • 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