An S4 class to represent the results of a sequential t-test.
the logarithmic test statistic.
the test decision: "accept H1", "accept H0", or "continue sampling".
the lower logarithmic boundary of the test.
the upper logarithmic boundary of the test.
a number indicating the specified effect size (Cohen's d).
a number indicating the true value of the mean (or difference in means if you are performing a two sample test).
the type I error. A number between 0 and 1.
1 - beta (beta is the type II error probability). A number between 0 and 1.
the likelihood ratio of the test without logarithm.
the likelihood of the alternative Hypothesis (H1).
the likelihood of the null Hypothesis (H0).
the logarithmic likelihood of the alternative Hypothesis (H1).
the logarithmic likelihood of the null Hypothesis (H0).
parameter to calculate the likelihoods
the t-value of the t-statistic.
the p-value of the t-test.
degrees of freedom.
the estimated mean or difference in means depending on whether it was a one-sample test or a two-sample test.
a character string specifying the alternative hypothesis: "two.sided" (default), "greater" or "less".
"true" if it is a one-sample test, "false" if it is a two-sample test.
a character string indicating what type of t-test was performed.
a character string giving the name(s) of the data.
a logical value whether you want a verbose output or not.
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