para_boot: carry out parametric bootstrap to get CIs for model...
In stacyderuiter/s245: Tools for Calvin College STAT 245
para_boot R Documentation
carry out parametric bootstrap to get CIs for model predictions
Description
carry out parametric bootstrap to get CIs for model predictions
Usage
para_boot(model, new_data, predictor, nboot, conf_level = 0.95)
Arguments
model
a fitted model object created by lm() or glm() or geeglm()
new_data
data frame with data for which to make predictions and generate bootstrap CIs
predictor
the covariate for which to make predictions. other predictors in the model will be held constant at their median value, or the most commonly observed value in the dataset.
nboot
number of bootstrap iterations. Defaults to 1000. Ignored if boot is FALSE.
conf_level
confidence level as a proportion, default is 0.95 for 95 percent confidence
Value
a data.frame with variables CIlower and CIupper, the lower and upper bounds of the parametric bootstrap CI
stacyderuiter/s245 documentation built on July 31, 2023, 11:04 p.m.
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| para_boot | R Documentation |
carry out parametric bootstrap to get CIs for model predictions
Description
carry out parametric bootstrap to get CIs for model predictions
Usage
para_boot(model, new_data, predictor, nboot, conf_level = 0.95)
Arguments
model |
a fitted model object created by lm() or glm() or geeglm() |
new_data |
data frame with data for which to make predictions and generate bootstrap CIs |
predictor |
the covariate for which to make predictions. other predictors in the model will be held constant at their median value, or the most commonly observed value in the dataset. |
nboot |
number of bootstrap iterations. Defaults to 1000. Ignored if boot is FALSE. |
conf_level |
confidence level as a proportion, default is 0.95 for 95 percent confidence |
Value
a data.frame with variables CIlower and CIupper, the lower and upper bounds of the parametric bootstrap CI
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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