PlotpCOpBIALT: Plots p-confidence and p-bias for adjusted Logit Wald method

In RajeswaranV/proportion: Inference on Single Binomial Proportion and Bayesian Computations

Plots p-confidence and p-bias for adjusted Logit Wald method

Description

Plots p-confidence and p-bias for adjusted Logit Wald method

Usage

PlotpCOpBIALT(n, alp, h)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
h	- Adding factor

Details

p-confidence and p-bias plots for adjusted Logit Wald method

See Also

Other p-confidence and p-bias of adjusted methods: PlotpCOpBIAAS(), PlotpCOpBIAAll(), PlotpCOpBIALR(), PlotpCOpBIASC(), PlotpCOpBIATW(), PlotpCOpBIAWD(), pCOpBIAAS(), pCOpBIAAll(), pCOpBIALR(), pCOpBIALT(), pCOpBIASC(), pCOpBIATW(), pCOpBIAWD()

Examples

n=5; alp=0.05;h=2
PlotpCOpBIALT(n,alp,h)

RajeswaranV/proportion documentation built on June 17, 2022, 9:11 a.m.