simLargeP: simLargeP
In haimbar/QREM: Quantile Regression via the EM algorithm
simLargeP R Documentation
simLargeP
Description
A simulated data set for the QREM package with 500 predictors, of which only 5 are associated with the outcome. The standard deviation of the random errors is a linear function of the the first predictor.
Usage
data("simLargeP")
Format
A data frame with 200 simulated observations with the 500 variables, of which the first 5 are related to the mean of y. The coefficients, including the intercept are c(1, -3,2,2,-1,-2). The errors are generated using a normal distribution with standard deviation equal to 0.1+X1.
Examples
# See in the description of the QREM_vs function.
haimbar/QREM documentation built on Aug. 27, 2022, 7:10 p.m.
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| simLargeP | R Documentation |
simLargeP
Description
A simulated data set for the QREM package with 500 predictors, of which only 5 are associated with the outcome. The standard deviation of the random errors is a linear function of the the first predictor.
Usage
data("simLargeP")
Format
A data frame with 200 simulated observations with the 500 variables, of which the first 5 are related to the mean of y. The coefficients, including the intercept are c(1, -3,2,2,-1,-2). The errors are generated using a normal distribution with standard deviation equal to 0.1+X1.
Examples
# See in the description of the QREM_vs function.
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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