dot-inv_ci_pred: Calculate Confidence Intervals for Predictions from...
In baruuum/btoolbox: random toolbox
Description
Usage
Arguments
Value
Description
Calculates confidence intervals of predicted outcomes by applying inverse-link function of GLMs to endpoints of confidence intervals of linear predictor
Usage
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.inv_ci_pred(
m = NULL,
newdata = NULL,
Sigma = NULL,
level = 0.95,
m_class = c("glm", "lm")
)
Arguments
m
regression model
newdata
dataset to make predictions
Sigma
variance-covariance matrix of estimator; if NULL, vcov(m) is used
level
confidence level; defaults to .95
m_class
model class; either glm or lm
Value
Confidence interval of predicted response calculated at values specified in newdata.
baruuum/btoolbox documentation built on Aug. 17, 2020, 1:29 a.m.
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Description Usage Arguments Value
Description
Calculates confidence intervals of predicted outcomes by applying inverse-link function of GLMs to endpoints of confidence intervals of linear predictor
Usage
1 2 3 4 5 6 7 | .inv_ci_pred(
m = NULL,
newdata = NULL,
Sigma = NULL,
level = 0.95,
m_class = c("glm", "lm")
)
|
Arguments
m |
regression model |
newdata |
dataset to make predictions |
Sigma |
variance-covariance matrix of estimator; if NULL, vcov(m) is used |
level |
confidence level; defaults to .95 |
m_class |
model class; either glm or lm |
Value
Confidence interval of predicted response calculated at values specified in newdata.
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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