person("Steven", "de Rooij", email = "steven.de.rooij@gmail.com", role = "aut"),
person("Tim", "van Erven", email = "tim@timvanerven.nl", role = c("cre", "aut")),
Maintainer: Tim van Erven <tim@timvanerven.nl>
for the Sparse Normal Sequence Model, implementing the algorithms
priors, sample sizes up to 10,000 are feasible within half an hour
on a standard laptop. For beta-binomial spike-and-slab priors, a
faster algorithm is provided, which can handle sample sizes of
100,000 in half an hour. In the implementation, special care has
been taken to assure numerical stability of the methods even for

Title: Exact Sequential Analysis for Poisson Data
Author: Ivair Ramos Silva and Martin Kulldorff
Maintainer: Ivair Ramos Silva <jamesivair@yahoo.com.br>
Description: Calculates exact critical values to perform continuous or
group sequential analysis for Poisson type data using the
Maximized Sequential Probability Ratio Test (MaxSPRT) with a
Wald type rejection boundary. Also calculates properties such
as statistical power, expected time to signal when the null is
rejected and maximum sample size needed to obtain a certain

Description: Calculates exact critical values to perform continuous or group sequential analysis for Poisson type data using the Maximized Sequential Probability Ratio Test (MaxSPRT) with a Wald type rejection boundary. Also calculates properties such as statistical power, expected time to signal when the null is rejected and maximum sample size needed to obtain a certain power.

Title: Exact Sequential Analysis for Poisson and Binomial Data
Description: Functions to calculate exact critical values, statistical power, expected time to signal and required sample sizes for performing exact sequential analysis. These calculations can be done for either Poisson or binomial data, for continuous or group sequential analyses, and for different types of rejection boundaries. For group sequential analyses, the group sizes do not have to be specified in advance and, for binomial data, the alpha spending can be arbitrarily settled.