sim_Bai: Simulate Spline Data

In boyiguo1/BHAM: Bayesian Hierarchical Additive Model

Simulate Spline Data

Description

Simulation functions for binomial, gaussian and poisson outcomes. The simulation equations follow Bai

Usage

sim_Bai(n, p, family = binomial(), dispersion = 1)

Arguments

n	Integer, sample size
p	Integer, number of predictors. The minimum number of predictors is default to 4. If user input p<4, p changes to 4 with a warning message
family	Family object, one of binomial (default), gaussian , poisson. Please see family for more detail
dispersion	Double, required for gaussian distribution, match to sd parameter.

Details

Value

a list contains dat, eta, mu

• dat a numeric matrix, contains predictors x1 to xp where p is replaced by the integer value. The outcome variable is named y

• etathe linear predictor of the simulated data

• muthe mean of the simulated data

Examples

# Binomial Outcome
sim_Bai(100, 4)

# Logistic Outcome
sim_Bai(100, 4, family = poisson())

# Gaussian Outcome with measurement error variance = 1
sim_Bai(100, 4, family = gaussian(), dispersion = 1 )

boyiguo1/BHAM documentation built on Jan. 29, 2024, 10:37 a.m.