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wilson.phi gives a two-sided Wilson confidence interval with continuity correction for the difference of two dependent proportions. Data are assumed to be of a fourfold table, which contains the numbers of concordance and the numbers of discordance of two dependent methods. The continuity correction is performed to the estimated phi which is calculated by the entries of the fourfold table.
● Data Source:
CranContrib
● Keywords:
● Alias: wilson.phi
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wilson.cc gives a two-sided Wilson confidence interval with continuity correction for the difference of two dependent proportions. The continuity correction is performed to the score limits. Data are assumed to be of a fourfold table, which contains the numbers of concordance and the numbers of discordance of two dependent methods.
● Data Source:
CranContrib
● Keywords:
● Alias: wilson.cc
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wilson gives a two-sided Wilson confidence interval for the difference of two dependent proportions. There is no continuity correction performed. Data are assumed to be of a fourfold table, which contains the numbers of concordance and the numbers of discordance of two dependent methods.
● Data Source:
CranContrib
● Keywords:
● Alias: wilson
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wald.cc gives a two-sided Wald confidence interval with continuity correction for the difference of two dependent proportions. The continuity correction factor is frac{1}{n}. Data are assumed to be of a fourfold table, which contains the numbers of concordance and the numbers of discordance of two dependent methods.
● Data Source:
CranContrib
● Keywords:
● Alias: wald.cc
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uncond gives a two-sided true profile likelihood confidence interval for the difference of two dependent proportions. It is built by the solution of an inequality. Data are assumed to be of a fourfold table, which contains the number of concordance and the number of discordance of two dependent methods.
● Data Source:
CranContrib
● Keywords:
● Alias: uncond
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np.t gives a two-sided rank-based confidence interval with t- approximation for the difference of two dependent proportions. Data are assumed to be of a fourfold table, which contains the numbers of concordance and the numbers of discordance of two dependent methods.
● Data Source:
CranContrib
● Keywords:
● Alias: np.t
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np.nv gives a two-sided rank-based confidence interval with normal approximation for the difference of two dependent proportions. Data are assumed to be of a fourfold table, which contains the numbers of concordance and the numbers of discordance of two dependent methods.
● Data Source:
CranContrib
● Keywords:
● Alias: np.nv
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exact.midp gives a two-sided exact conditional confidence interval for the difference of two dependent proportions. It is built of a mid-p Interval. Data are assumed to be of a fourfold table, which contains the numbers of concordance and the numbers of discordance of two dependent methods.
● Data Source:
CranContrib
● Keywords:
● Alias: exact.midp
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exact.cond gives a two-sided exact conditinal confidence interval for the difference of two dependent proportions. It is built of a Clopper Pearson Interval. Data are assumed to be of a fourfold table, which contains the numbers of concordance and the numbers of discordance of two dependent methods.
● Data Source:
CranContrib
● Keywords:
● Alias: exact.cond
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This function gives 12 different two-sided confidence intervals. Data are assumed to be of a fourfold table, which contains the numbers of concordance and the numbers of discordance of two dependent methods. The following intervals are listed: Wald, Wald with continuity correction, Agresti, Tango, Exact (Clopper Pearson and mid-p), Profile Likelihood, Wilson (without and with continuity corrections) and nonparametric approaches using rank methods (with normal and t-approximation).
● Data Source:
CranContrib
● Keywords:
● Alias: diffpci
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