initiate_startValues {mBvs}

The function that initiates starting values

Description

The function initiates starting values. Users are allowed to set some non-null values to starting values for a set of parameters. The function will automatically generate starting values for any parameters whose values are not specified.

Usage

initiate_startValues(Formula, Y, data, model = "MMZIP", B = NULL, beta0 = NULL, 
V = NULL, SigmaV = NULL, gamma_beta = NULL, A = NULL, alpha0 = NULL, W = NULL, 
m = NULL, gamma_alpha = NULL, sigSq_beta = NULL, sigSq_beta0 = NULL, 
sigSq_alpha = NULL, sigSq_alpha0 = NULL)

Arguments

Formula

a list containing three formula objects: the first formula specifies the p_z covariates for which variable selection is to be performed in the binary component of the model; the second formula specifies the p_x covariates for which variable selection is to be performed in the count part of the model; the third formula specifies the p_0 confounders to be adjusted for (but on which variable selection is not to be performed) in the regression analysis.

Y

a data.frame containing q count outcomes from n subjects. It is of dimension n\times q.

data

a data.frame containing the variables named in the formulas in lin.pred.

model

MMZIP

B

starting values of B

beta0

starting values of \beta_0

V

starting values of B

SigmaV

starting values of \Sigma_V

gamma_beta

starting values of \gamma_{\beta}

A

starting values of A

alpha0

starting values of \alpha_0

W

starting values of W

m

starting values of m

gamma_alpha

starting values of \gamma_{\alpha}

sigSq_beta

starting values of \sigma_{\beta}^2

sigSq_beta0

starting values of \sigma_{\beta_0}^2

sigSq_alpha

starting values of \sigma_{\alpha}^2

sigSq_alpha0

starting values of \sigma_{\alpha_0}^2

Value

initiate_startValues returns a list containing starting values that can be used for mmzipBvs.

Author(s)

Maintainer: Kyu Ha Lee <[e-mail]>

References

update..

See Also

mmzipBvs

Examples

## See Examples in \code{\link{mmzipBvs}}.