control_density_v1 {zcurve}

Control settings for the original z-curve density algorithm

Description

All settings are passed to the density fitting algorithm. All unspecified settings are set to the default value. Setting model = "KD1" sets all settings to the default value irrespective of any other setting and fits z-curve as described in Brunner and Schimmack (2020).

Arguments

version

Set to 1 to fit the original version of z-curve. Defaults to 2 = the updated version of z-curve. For its settings page go to control_density.

model

A type of model to be fitted, defaults to "KD1" (the only possibility)

sig_level

An alpha level of the test statistics, defaults to .05

a

A beginning of fitting interval, defaults to qnorm(sig_level/2,lower.tail = F)

b

An end of fitting interval, defaults to 6

K

Number of mixture components, defaults to 3

max_iter

A maximum number of iterations for the nlminb optimization for fitting mixture model, defaults to 150

max_eval

A maximum number of evaluation for the nlminb optimization for fitting mixture model, defaults to 300

criterion

A criterion to terminate nlminb optimization, defaults to 1e-10

bw

A bandwidth of the kernel density estimation, defaults to "nrd0"

References

Brunner J, Schimmack U (2020). “Estimating population mean power under conditions of heterogeneity and selection for significance.” Meta-Psychology, 4. doi:10.15626/MP.2018.874.

See Also

zcurve(), control_density, control_EM

Examples

# to increase the number of iterations
ctrl <- list(
   version   = 1,
   max_iter  = 300
)
## Not run: zcurve(OSC.z, method = "density", control = ctrl)