better_sim.lm: Generate simulated predictions from a linear model that...
In strategicdataproject/OpenSDPsynthR: Package to generate synthetic data for the OpenSDP Project
Description
Usage
Arguments
Value
Description
Generate simulated predictions from a linear model that account for
model and parameter error
Usage
1
better_sim.lm(object, nsim, newdata, resid_error = FALSE)
Arguments
object
an object of class lm or glm
nsim
number of simulations per observation to generate
newdata
dataframe containing the observations to generate predictions
for
resid_error
should the model residual error be added to predictions,
default is FALSE
Value
a matrix of predictions nrow(newdata) x nsim columns
strategicdataproject/OpenSDPsynthR documentation built on June 20, 2020, 6:17 a.m.
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Description Usage Arguments Value
Description
Generate simulated predictions from a linear model that account for model and parameter error
Usage
1 | better_sim.lm(object, nsim, newdata, resid_error = FALSE)
|
Arguments
object |
an object of class lm or glm |
nsim |
number of simulations per observation to generate |
newdata |
dataframe containing the observations to generate predictions for |
resid_error |
should the model residual error be added to predictions, default is FALSE |
Value
a matrix of predictions nrow(newdata) x nsim columns
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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