R: Concentration-Response Data Analysis using Curvep

# Concentration-Response Data Analysis using Curvep

## Documentation for package ‘Rcurvep’ version 1.3.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

cal_knee_point | Calculate the knee point on the exponential-like curve
combi_run_rcurvep | Run Curvep on datasets of concentration-response data with a combination of Curvep parameters
create_dataset | Create concentration-response datasets that can be applied in the 'run_rcurvep()'
curvep | The Curvep function to process one set of concentration-response data
curvep_defaults | Default parameters of Curvep
estimate_dataset_bmr | Estimate benchmark response (BMR) for each dataset
fit_cc2_modl | Fit concentration-response data using Curve Class2 approach
fit_modls | Fit one set of concentration-response data using types of models
get_hill_fit_config | Get the default configurations for the Hill fit
merge_rcurvep_objs | Merge results from multiple rcurvep objects
plot.rcurvep_bmr | Plot BMR diagnostic curves
run_fit | Run parametric fits using types of models on concentration-response datasets
run_rcurvep | Run Curvep on datasets of concentration-response data
summarize_fit_output | Summarize the results from the parametric fitting using types of models
summarize_rcurvep_output | Clean and summarize the output of rcurvep object
zfishbeh | Subsets of concentration response datasets from zebrafish neurotoxicity assays
zfishdev | Subsets of concentration response datasets from zebrafish developmental toxicity assays
zfishdev_act | Activity output based on simulated datasets using zfishdev_all dataset
zfishdev_all | Full sets of concentration response datasets from zebrafish developmental toxicity assays