Author: Daniel Barreiro Ures, Basilio B. Fraguela, Ramón Doallo Biempica, Ricardo Cao, Mario Francisco-Fernández, Miguel Reyes
graphics, stats, mclust, Rdpack, parallel

graphics, stats, mclust, Rdpack, parallel, doParallel, foreach

Title: Binomial Confidence Intervals For Several Parameterizations
Description: Constructs confidence intervals on the probability of success in a binomial experiment via several parameterizations
Packaged: Wed Aug  9 13:38:44 2006; sundard

Packaged: Tue Feb 13 13:38:48 2007; sundard

Packaged: Sat Nov 17 07:22:49 2007; sundard

Packaged: Wed Jan  2 05:40:02 2008; sundard

Packaged: Fri Oct  3 09:38:15 2008; sundard

Description: Constructs confidence intervals on the probability of
success in a binomial experiment via several parameterizations
Packaged: 2009-05-26 10:04:06 UTC; sdorairaj

Title: Binomial Confidence Intervals for Several Parameterizations
success in a binomial experiment via several parameterizations.
Suggests: lattice, polynom, tcltk, ggplot2

Packaged: 2014-01-02 13:43:44 UTC; sdorairaj

Title: Confidence intervals and sample size determination for a
binomial proportion under simple random sampling and pooled
Author: Michael Hoehle with contributions by Wei Liu
Description: A suite of functions to compute confidence intervals and
necessary sample sizes for the parameter p of the Bernoulli
B(p) distribution under simple random sampling or under pooled
sampling. Such computations are e.g. of interest when
investigating the incidence or prevalence in populations. The
package contains functions to compute coverage probabilities
and coverage coefficients of the provided confidence intervals
procedures. Sample size calculations are based on expected

A suite of functions to compute confidence intervals and necessary
sample sizes for the parameter p of the Bernoulli B(p)
distribution under simple random sampling or under pooled
sampling. Such computations are e.g. of interest when investigating
the incidence or prevalence in populations.
The package contains functions to compute coverage probabilities and
coverage coefficients of the provided confidence intervals
procedures. Sample size calculations are based on expected length.