Generates univariate synthetic data using linear regression
of an outcome variable transformed by natural logarithm (lognorm
),
square root (sqrtnorm
) or cube root (cubertnorm
).
syn.lognorm(y, x, xp, proper = FALSE, ...)
syn.sqrtnorm(y, x, xp, proper = FALSE, ...)
syn.cubertnorm(y, x, xp, proper = FALSE, ...)
an original data vector of length n
.
a matrix (n
x p
) of original covariates.
a matrix (k
x p
) of synthesised covariates.
a logical value specifying whether proper synthesis should be conducted. See details.
additional parameters.
A vector of length k
with synthetic values of y
.
Generates synthetic values using the spread around the
fitted linear regression line of transformed y
given x
.
For proper synthesis first the regression coefficients are drawn
from normal distribution with mean and variance from the fitted model.
The synthetic values are transformed back to the original scale.