salbmCI: Sensitivity Analysis for longitudinal binary missing data

In olssol/salbm: Sensitivity Analysis for Longitudinal Binary Missing Data

Description

Produces confidence intervals for a salbm object.

Usage

salbmCI( alphas, main, bs)

Arguments

alphas	vector or sensitivity parameters.
main	set of estimates from the salbm function.
bs	set of bootstrap estimates from the salbm function.

Details

Creates confidence limits from estimates and bootstrap estimates

Value

salbmCI: returns a table which includes the following:

for each alpha and timepoint an estimate and lower and upper 95 percent confidence limits and lower and upper symmetric confindence limits.

See Also

The salbm_userDoc.pdf file in the Examples subdirectory.

Examples

data("salbmData")

Results <- salbm(
  data           =  salbmData,
  trtname        =  "trt",       # treatment indicator
  trtlev         =  c(1,2),      # treatment values 
    
  rf.ntree       =    25,        # num trees in the forest
  rf.seed        =  -172,        
  rf.sampsize    =    90,         
  rf.nodesize    =     3,

  nbootstraps    =    10,
  alpha          =  -1:1 )

CID <- salbmCI( -1:1, Results$ResultsD, Results$bootstrapsD ) 

olssol/salbm documentation built on March 19, 2020, 3:43 p.m.