bootstrap_individual_ci: Runs the bootstrap estimation method for a single set of...
In ColmanHumphrey/glmmboot: Bootstrap Resampling for Mixed Effects and Plain Models
Description
Usage
Arguments
Value
Description
Runs the bootstrap estimation method for a single set of coefs (not a list)
Usage
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bootstrap_individual_ci(
base_matrix = NULL,
resampled_coef_list = NULL,
orig_df = NULL,
alpha_level = 0.05,
probs = NULL
)
Arguments
orig_df
Degrees of freedom to use to calculate the
t-values used for the base interval.
alpha_level
level of CI - if you fill in probs, will use those instead
probs
Default NULL, and will use alpha_level to set
endpoints. Else will calculate these CI endpoints.
Value
Returns a matrix result
ColmanHumphrey/glmmboot documentation built on June 28, 2021, 3:54 p.m.
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Description Usage Arguments Value
Description
Runs the bootstrap estimation method for a single set of coefs (not a list)
Usage
1 2 3 4 5 6 7 | bootstrap_individual_ci(
base_matrix = NULL,
resampled_coef_list = NULL,
orig_df = NULL,
alpha_level = 0.05,
probs = NULL
)
|
Arguments
orig_df |
Degrees of freedom to use to calculate the t-values used for the base interval. |
alpha_level |
level of CI - if you fill in |
probs |
Default |
Value
Returns a matrix result
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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