invariants: generate sfpca models with different parameters
In biocore/bayestime: (***)
Description
Usage
Arguments
Value
Examples
Description
generate sfpca models with different parameters
Usage
1
invariants(data, unique_subject_id, time_name, var_name = NULL)
Arguments
data:
A data frame with subject id, time and variables
unique_subject_id:
A column name corresponding to unique
subject id in the data (string)
time_name:
A column name corresponding to time variable
var_name:
A vector of interested variable name, default is null
Value
A vector of column names in data that do not change with
time variable
Examples
1
2
data("ECAM")
invariants(ECAM, 'studyid', 'month_of_life')
biocore/bayestime documentation built on Nov. 15, 2020, 5:40 p.m.
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Description Usage Arguments Value Examples
Description
generate sfpca models with different parameters
Usage
1 | invariants(data, unique_subject_id, time_name, var_name = NULL)
|
Arguments
data: |
A data frame with subject id, time and variables |
unique_subject_id: |
A column name corresponding to unique subject id in the data (string) |
time_name: |
A column name corresponding to time variable |
var_name: |
A vector of interested variable name, default is null |
Value
A vector of column names in data that do not change with time variable
Examples
1 2 | data("ECAM")
invariants(ECAM, 'studyid', 'month_of_life')
|
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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