datagenerator.inloop: This function is used to generate B data batches each time to...

In luolsph/RenewGLM_pkg: Renewable Estimation and Incremental Inference in Generalized Linear Models with Streaming Datasets

This function is used to generate B data batches each time to illustrate the usage of RenewGLM function

Description

This function is used to generate B data batches each time to illustrate the usage of RenewGLM.inloop function

Usage

datagenerator_in(beta, n, p, B, family, construct, rho, tempdatadir,
  categorical = FALSE, seed = NA)

Arguments

beta	designed coefficients for simulated data batches, including the intercept
n	sample size of the bth data batch
p	number of coefficients to estimate including intercept
B	the terminal time to get the result
family	exponential family of the responses, choices include c("gaussian","binomial","poisson")
construct	structure of covariance matrix for generating the covariate matrix X
rho	the correlation coefficient in the covariance matrix, choices inlcude c("ind", "cs", "ar1")
tempdatadir	the directory for saving a total of B data batches
categorical	set to TRUE to let some X be dichotomized, the default is FALSE
seed	set random seed and the default is NA

Value

a data matrix containing response vector y and covariate matrix X

luolsph/RenewGLM_pkg documentation built on April 17, 2023, 12:36 a.m.