Daniel Barreiro Ures, Basilio B. Fraguela, Ramón Doallo Biempica, Ricardo Cao, Mario Francisco-Fernández, Miguel Reyes
Rcpp (>= 0.12.12), kedd, nor1mix, fitdistrplus, grDevices,
graphics, stats, mclust, Rdpack, parallel

Rcpp (>= 0.12.12), kedd, nor1mix, fitdistrplus, grDevices,
graphics, stats, mclust, Rdpack, parallel, doParallel, foreach

Binomial Confidence Intervals For Several Parameterizations
Constructs confidence intervals on the probability of success in a binomial experiment via several parameterizations

Constructs confidence intervals on the probability of
success in a binomial experiment via several parameterizations

Binomial Confidence Intervals for Several Parameterizations
Constructs confidence intervals on the probability of
success in a binomial experiment via several parameterizations.

Confidence intervals and sample size determination for a
binomial proportion under simple random sampling and pooled
sampling
Michael Hoehle with contributions by Wei Liu
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.

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.

Confidence Intervals and Sample Size Determination for a
Binomial Proportion under Simple Random Sampling and Pooled
Sampling
c(person("Michael", "Höhle",
email = "hoehle@math.su.se",
role = c("aut", "cre")),
person("Wei", "Liu", role = "ctb"))