fit_Kd_direct

fit_Kd_direct(
    input_df
    model
    LsT
    Ns=None
    compound_sel=False
    fix_ymin=False
    fix_ymax=False
    ci=True
    verbose=False
)

Function for fitting the dir_simple, dir_specific and dir_total models.

Parameters

Name	Type	Description	Default
input_df	DataFrame	Pandas DataFrame containing the input data.	required
model	str	Name of the model. Options: `dir_simple`, `dir_specific`, `dir_total`	required
LsT	float or int	Total concentration of the labeled ligand.	required
Ns	float or int	Parameter for nonspecific binding of the labeled ligand (needed only for `dir_total` model).	`None`
compound_sel	list	List of compounds to execute the function on. If set to False, all compounds will be used.	`False`
fix_ymin	float or int	Lower asymptote of the model will be fixed at the provided value. If set to “False”, it will be fitted freely.	`False`
fix_ymax	float or int	Upper asymptote of the model will be fixed at the provided value. If set to “False”, it will be fitted freely.	`False`
ci	bool	Whether to calculate 95% confidence intervals.	`True`
verbose	bool	If set to “True”, more detailed output is printed. Intended mainly for troubleshooting.	`False`

Returns

Name	Type	Description
	DataFrame	Pandas DataFrame containing the fit results.