generate_data_logreg: Generate data for simulation study PART II (log reg)
In LindaNab/simexvsmecor: Comparison of Simex and Mecor for Measurement Error Correction
Description
Usage
Arguments
Value
Description
Generate data for simulation study PART II (log reg)
Usage
1
generate_data_logreg(seed_no, nobs, gamma, tau_sq, nrep = 2, phi, beta = 0.1)
Arguments
seed_no
seed no. used to generate data
nobs
number of observations
gamma
effect of Z on X
tau_sq
extra variance due to measurement error in error-prone measure X_star
nrep
number of replicates of X_star (defaults to 2)
phi
effect of Z on Y (given X)
beta
estimand (defaults to 0.05)
Value
Data.frame with variables Z, X, X_star_1, ..., X_star_nrep and Y
LindaNab/simexvsmecor documentation built on Dec. 17, 2021, 1:09 a.m.
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Description Usage Arguments Value
Description
Generate data for simulation study PART II (log reg)
Usage
1 | generate_data_logreg(seed_no, nobs, gamma, tau_sq, nrep = 2, phi, beta = 0.1)
|
Arguments
seed_no |
seed no. used to generate data |
nobs |
number of observations |
gamma |
effect of Z on X |
tau_sq |
extra variance due to measurement error in error-prone measure X_star |
nrep |
number of replicates of X_star (defaults to 2) |
phi |
effect of Z on Y (given X) |
beta |
estimand (defaults to 0.05) |
Value
Data.frame with variables Z, X, X_star_1, ..., X_star_nrep and Y
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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