PlotcovpAll: Graphs of basic Coverage Probability 6 base methods (Wald,...

In proportion: Inference on Single Binomial Proportion and Bayesian Computations

Description

Graphs of basic Coverage Probability 6 base methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine)

Usage

PlotcovpAll(n, alp, a, b, t1, t2)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
a	- Beta parameters for hypo "p"
b	- Beta parameters for hypo "p"
t1	- Lower tolerance limit to check the spread of coverage Probability
t2	- Upper tolerance limit to check the spread of coverage Probability

Details

The graphs of basic Coverage Probability methods

See Also

Other Basic coverage probability methods: PlotcovpAS, PlotcovpBA, PlotcovpEX, PlotcovpLR, PlotcovpLT, PlotcovpSC, PlotcovpTW, PlotcovpWD, covpAS, covpAll, covpBA, covpEX, covpLR, covpLT, covpSC, covpTW, covpWD

Examples

## Not run: 
n= 10; alp=0.05; a=1; b=1; t1=0.93; t2=0.97
PlotcovpAll(n,alp,a,b,t1,t2)

## End(Not run)

proportion documentation built on May 1, 2019, 7:54 p.m.