Description Arguments References See Also Examples
All settings are passed to the density fitting
algorithm. All unspecified settings are set to the default value.
Setting model = "KD2"
sets all settings to the default
value irrespective of any other setting and fits zcurve as
describe in \insertCitezcurve2;textualzcurve. In order to fit the
zcurve 1.0 density algorithm, set model = "KD1"
and go to
control_density_v1
version 
Which version of zcurve should be fitted. Defaults to

model 
A type of model to be fitted, defaults to 
sig_level 
An alpha level of the test statistics, defaults to

a 
A beginning of fitting interval, defaults to

b 
An end of fitting interval, defaults to 
mu 
Means of the components, defaults to 
sigma 
A standard deviation of the components, "Don't touch this"
\ Ulrich Schimmack, defaults to 
theta_min 
Lower limits for weights, defaults to

theta_max 
Upper limits for weights, defaults to

max_iter 
A maximum number of iterations for the nlminb
optimization for fitting mixture model, defaults to 
max_eval 
A maximum number of evaluation for the nlminb
optimization for fitting mixture model, defaults to 
criterion 
A criterion to terminate nlminb optimization,
defaults to 
bw 
A bandwidth of the kernel density estimation, defaults to 
aug 
Augment truncated kernel density, defaults to 
aug.bw 
A bandwidth of the augmentation, defaults to 
n.bars 
A resolution of density function, defaults to 
density_dbc 
Use bckden to estimate a truncated kernel density,
defaults to 
compute_FDR 
Whether to compute FDR, leads to noticeable increase in
computation, defaults to 
criterion_FDR 
A criterion for estimating the maximum FDR, defaults
to 
criterion_FDR_dbc 
A criterion for estimating the maximum FDR using
the bckden function, defaults to 
precision_FDR 
A maximum FDR precision, defaults to 
zcurve()
, control_density_v1, control_EM
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