para_boot_ci | R Documentation |
Parametric bootstrap to make inference on the concordance correlation coefficient
para_boot_ci(
dataset,
model,
ry,
rind,
rtime = NULL,
rmet = NULL,
vecD = NULL,
covar = NULL,
rho = 0,
int = F,
cl = 0.95,
control.lme = list(),
nboot = 500,
parallel = TRUE,
future_seed = 121
)
dataset |
an object of class |
model |
an object of class |
ry |
Character string. Name of the outcome in the data set. |
rind |
Character string. Name of the subject variable in the data set. |
rtime |
Character string. Name of the time variable in the data set. |
rmet |
Character string. Name of the method variable in the data set. |
vecD |
Vector of weights. The length of the vector must be the same as the number of repeated measures. |
covar |
Character vector. Name of covariates to include in the linear mixed model as fixed effects. |
rho |
Within subject correlation structure. A value of 0 (default option) stands for compound symmetry and 1 is used for autorregressive of order 1 structure. |
int |
Binary indicating if the subject-method interaction has to be included in the model when analyzing the non-longitudinal setting (defaults to FALSE). |
cl |
Confidence level. |
control.lme |
A list of control values for the estimation algorithm used in |
nboot |
Number of bootstrap resamples. |
parallel |
Whether the code is parallellized. The parallellization method is |
future_seed |
Logical/Integer. The seed to be used for parallellization. Further details in |
Vector of CCC bootstrap estimates.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.