compute_ci.lp_model: Compute confidence interval for local polynomial model
In serosv: Model Infectious Disease Parameters from Serosurveys
compute_ci.lp_model R Documentation
Compute confidence interval for local polynomial model
Description
Compute confidence interval for local polynomial model
Usage
compute_ci.lp_model(x, ci = 0.95, ...)
Arguments
x
- serosv models
ci
- confidence interval
...
- arbitrary arguments
Value
confidence interval dataframe with 4 variables, x and y for the fitted values and ymin and ymax for the confidence interval
serosv documentation built on Oct. 18, 2024, 5:07 p.m.
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| compute_ci.lp_model | R Documentation |
Compute confidence interval for local polynomial model
Description
Compute confidence interval for local polynomial model
Usage
compute_ci.lp_model(x, ci = 0.95, ...)
Arguments
x |
- serosv models |
ci |
- confidence interval |
... |
- arbitrary arguments |
Value
confidence interval dataframe with 4 variables, x and y for the fitted values and ymin and ymax for the confidence interval
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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