mimpose: impose missing values

In yuliasidi/nibinom:

Description

imposes missing values

Usage

mimpose(dt, b_trt = 0, b_y = 0, b_x1 = 0, b_x2 = 0, b_ty = 0,
  do = 0.1, seed)

Arguments

dt	dataframe, on which missing values are imposed
b_trt	numeric, group missingness parameter, Default: 0
b_y	numeric, outcome missingness parameter, Default: 0
b_x1	numeric, covariate x1 missingness parameter, Default: 0
b_x2	numeric, covariate x2 missingness parameter, Default: 0
b_ty	numeric, covariatet treatment by group interaction, Default: 0
do	numeric, target drop-out rate, Default: 0.1
seed	numeric, seed specification before deleting observations

Details

this functtion returns the oroginal dataframe, where outcome variable y is replaces with incomplete outcome y.m

Value

original dataframe with missing outcome values

See Also

Uniform

Examples

 t <- sim_cont(
 p_C = 0.6, p_T = 0.5, n_arm = 200,
 mu1 = 4, mu2 = 100, sigma1 = 1,
 sigma2 = 20, r12 = -0.3,
 b1 = 0.1, b2 = -0.01)
 tm <- mimpose(t, b_x1 = 0.2, seed = 1555)

yuliasidi/nibinom documentation built on Dec. 14, 2021, 11:43 p.m.