R: Exact Confidence Limits after a Sequential Trial

# Exact Confidence Limits after a Sequential Trial

## Documentation for package ‘CLAST’ version 1.0.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

CLAST | Confidence Limits After Sequential Trial Exact Confidence Limits after a Sequential Trial
CP.lower | Calculates Clopper-Pearson lower limit
CP.stats.SM | Calculates all possible Clopper-Pearson limits.
CP.upper | Calculates Clopper-Pearson upper limit
cross | Special combination of Matrix and Vector
errors | Exact error rates of specified sequential design
errors.SM | Exact error rates of specified sequential design
exact.lower.limits.SM | Calculates all exact lower limits.
exact.upper.limits.SM | Calculates all exact upper limits.
inference | Exact limits from outcome
JT.rank.SM | Calculates Jennison & Turnbull ranking of sample space
LR.lower | Calculates likelihood ratio based lower limit
LR.stats.SM | Calculates all possible LR limits.
LR.upper | Calculates likelihood ratio based upper limit
ML.rank.SM | Maximum likelihood estimator of p.
mv.plots.SM | Diagnostic mean values plots.
mv.SM | Mean value of upper limits.
plt.sample.space.SM | Sample space for given sequential design.
prob.SM | Probability of sufficient statistics (S,M).
RANK | Produces ranks of entries of vector
sample.space | Sample space enumeration (K>2)
sample.space.2 | Sample space enumeration (K=2)
sample.space.SM | Sample space enumeration