A Modified Sequential Probability Ratio Test (MSPRT)
Designing the MSPRT
Internal MSPRT function: Designing the MSPRT for one-sample proportion...
Internal MSPRT function: Designing the MSPRT for one-sample t tests
Internal MSPRT function: Designing the MSPRT for one-sample z tests
Internal MSPRT function: Designing the MSPRT for two-sample t tests
Internal MSPRT function: Designing the MSPRT for two-sample z tests
Calculating effective maximum sample size to be used in designing the ...
Fixed-design alternative
Implementing the MSPRT
Internal MSPRT function: Implementing the MSPRT in one-sample proporti...
Internal MSPRT function: Implementing the MSPRT in one-sample t tests
Internal MSPRT function: Implementing the MSPRT in one-sample z tests
Internal MSPRT function: Implementing the MSPRT in two-sample t tests
Internal MSPRT function: Implementing the MSPRT in two-sample z tests
tools:::Rd_package_title("MSPRT")
Sample size required to achieve higher significance
Operating characteristics (OC) and Average Sample Number (ASN) of a de...
Internal MSPRT function: OC and ASN of a designed MSPRT in one-sample ...
Internal MSPRT function: OC and ASN of a designed MSPRT in one-sample ...
Internal MSPRT function: OC and ASN of a designed MSPRT in one-sample ...
Internal MSPRT function: OC and ASN of a designed MSPRT in two-sample ...
Internal MSPRT function: OC and ASN of a designed MSPRT in two-sample ...
Type II error probability of fixed design tests
UMPBT alternative
Given the maximum available sample size (N) for an experiment, and the target levels of Type I and II error probabilities, this package designs a modified SPRT (MSPRT). For any designed MSPRT the package can also obtain its operating characteristics and implement the test for a given sequentially observed data. The MSPRT is defined in a manner very similar to Wald's initial proposal. The proposed test has shown evidence of reducing the average sample size required to perform statistical hypothesis tests at specified levels of significance and power. Currently, the package implements one-sample proportion tests, one and two-sample z tests, and one and two-sample t tests. A brief user guidance for this package is provided below. One can also refer to the supplemental information for the same.