Create an nma class object to use in an analysis.
All of the data types are optional but at least one needs to be
passed to the function. The data_type must be a subset of
the passed data sets. If none given then all of the supplied
data are assumed.
Usage
new_NMA(
survDataHR = NA,
survDataMed = NA,
survDataBin = NA,
binData = NA,
countData = NA,
contsData = NA,
bugs_params = NA,
is_random = TRUE,
data_type = NA,
hyperparams = list(),
refTx = NA,
effectParam = NA,
label,
endpoint
)Arguments
- survDataHR
Hazard ratio input data frame. Optional
- survDataMed
Median time input data frame. Optional
- survDataBin
Survival binary data input data frame. Optional
- binData
Binary data input data frame. Optional
- countData
Count data input data frame. Optional
- contsData
Continuous data input data frame. Optional
- bugs_params
List of BUGS parameters. Optional
- is_random
Random effects model? Logical
- data_type
Vector of names of data formats from "hr_data", "surv_bin_data", "med_data", "bin_data", "count_data", "conts_data"
- hyperparams
List of hyperparameters
- refTx
Reference treatment; string
- effectParam
Effect parameter
- label
Label
- endpoint
End point name; string