| add_ROC_derived_columns | Add ROC derived columns. |
| as.character.sigr_statistic | as.character |
| Bernoulli_diff_stat | Compute the distribution of differences of replacement samples of two Binomial or Bernoulli experiments. |
| build_ROC_curve | calculate ROC curve. |
| calcAUC | calculate AUC. |
| calcDeviance | Calculate deviance. |
| calcSSE | Calculate sum of squared error. |
| estimateDifferenceZeroCrossing | Studentized estimate of how often a difference is below zero. |
| find_area_q | Find area matching polynomial curve. |
| find_AUC_q | Find area matching polynomial curve. |
| find_matching_a1_1b | Find beta-1 shape parameters matching the conditional distributions. |
| find_matching_conditional_betas | Find beta shape parameters matching the conditional distributions. |
| find_ROC_matching_ab | Find beta shape parameters matching the conditional distributions. |
| find_ROC_matching_ab1 | Find beta-1 shape parameters matching the conditional distributions. |
| fit_beta_shapes | Fit beta parameters from data. |
| format.sigr_statistic | Format |
| getRenderingFormat | Detect rendering format (using knitr). |
| model_utility | Estimate model utility |
| permTestAUC | Perform AUC permutation test. |
| permutationScoreModel | Empirical permutation test of significance of scoreFn(modelValues,yValues) >= scoreFn(modelValues,perm(yValues)). |
| print.sigr_statistic | |
| render | Format summary roughly in "APA Style" ( American Psychological Association ). |
| render.sigr_aucpairtest | Format an AUC-test (quality of a probability score) |
| render.sigr_aucpermtest | Format an AUC-test (quality of a probability score) |
| render.sigr_aucresamptest | Format an AUC-test (quality of a probability score) |
| render.sigr_Bernoulli_diff_test | Format sigr_Bernoulli_diff_test (test of difference of Bernoulli processes). |
| render.sigr_binomtest | Format binom.test (test of rate of a Binomial/Bernoulli experiment). |
| render.sigr_chisqtest | Format a chi-square test (quality of categorical prediction) |
| render.sigr_cohend | Format Cohen-D (effect size between groups) |
| render.sigr_cortest | Format cor.test (test of liner correlation). |
| render.sigr_emptest | Format an empirical test (quality of categorical prediction) |
| render.sigr_fishertest | Format fisher.test (test of categorical independence). |
| render.sigr_ftest | Format an F-test |
| render.sigr_permtest | Format an empirical test (quality of categorical prediction) |
| render.sigr_pwr_htest | Format a pwr-test |
| render.sigr_significance | Format a significance |
| render.sigr_tinterval | Format a Student-T tolerance-style interval around an estimate of a mean. |
| render.sigr_ttest | Format a T-test (difference in means by group) |
| resampleScoreModel | Studentized bootstrap variance estimate for scoreFn(yValues,modelValues). |
| resampleScoreModelPair | Studentized bootstrap test of strength of scoreFn(yValues,model1Values) > scoreFn(yValues,model1Values). |
| resampleTestAUC | Wrap AUC resampling test results. |
| sensitivity_and_specificity_s12p12n | Compute the shape1_pos, shape2_pos, shape1_neg, shape2_neg graph. |
| sensitivity_from_specificity_q | Compute the q-graph. |
| sigr | sigr: Format Significance Summaries for Reports |
| testAUCpair | Test AUC pair results. |
| TInterval | Wrap TInterval (test of Binomial/Bernoulli rate). |
| TInterval.data.frame | Student-T tolerance-style interval around an estimate of a mean from a data.frame. |
| TInterval.numeric | Student-T tolerance-style interval around an estimate of a mean from observations. |
| TIntervalS | Student-T tolerance-style interval around an estimate of a mean from summary. |
| wrapBinomTest | Wrap binom.test (test of Binomial/Bernoulli rate). |
| wrapBinomTest.data.frame | Wrap binom.test (test of Binomial/Bernoulli rate). |
| wrapBinomTest.htest | Wrap binom.test (test of Binomial/Bernoulli rate). |
| wrapBinomTest.logical | Wrap binom.test (test of Binomial/Bernoulli rate). |
| wrapBinomTest.numeric | Wrap binom.test (test of Binomial/Bernoulli rate). |
| wrapBinomTestS | Wrap binom.test (test of Binomial/Bernoulli rate) from summary. |
| wrapChiSqTest | Wrap quality of a categorical prediction roughly in "APA Style" ( American Psychological Association ). |
| wrapChiSqTest.anova | Format ChiSqTest from anova of logistic model. |
| wrapChiSqTest.data.frame | Format ChiSqTest from data. |
| wrapChiSqTest.glm | Format ChiSqTest from model. |
| wrapChiSqTest.summary.glm | Format ChiSqTest from model summary. |
| wrapChiSqTestImpl | Format quality of a logistic regression roughly in "APA Style" ( American Psychological Association ). |
| wrapCohenD | Wrap Cohen's D (effect size between groups). |
| wrapCohenD.data.frame | Wrap Cohen's D (effect size between groups). |
| wrapCohenD.numeric | Wrap Cohen's D (effect size between groups). |
| wrapCorTest | Wrap cor.test (test of liner correlation). |
| wrapCorTest.data.frame | Wrap cor.test (test of liner correlation). |
| wrapCorTest.htest | Wrap cor.test (test of liner correlation). |
| wrapFisherTest | Wrap fisher.test (test of categorical independence). |
| wrapFisherTest.data.frame | Wrap fisher.test (test of categorical independence). |
| wrapFisherTest.htest | Wrap fisher.test (test of categorical independence). |
| wrapFisherTest.table | Wrap fisher.test (test of categorical independence). |
| wrapFTest | Wrap F-test (significance identity relation). |
| wrapFTest.anova | Wrap quality statistic of a linear relation from anova. |
| wrapFTest.data.frame | Wrap quality statistic of identity relation from data. |
| wrapFTest.htest | Wrap F-test (ratio of variances). |
| wrapFTest.lm | Wrap quality statistic of identity r regression. |
| wrapFTest.summary.lm | Wrap quality statistic of linear regression summary. |
| wrapFTestezANOVA | Wrap quality statistic of a linear relation from ezANOVA (package ez). |
| wrapFTestImpl | Wrap F-test (significance of identity relation). |
| wrapPWR | Wrap pwr test (difference in means by group). |
| wrapPWR.power.htest | Wrap pwr test. |
| wrapSignificance | Wrap a significance |
| wrapTTest | Wrap t.test (difference in means by group). |
| wrapTTest.data.frame | Wrap t.test (difference in means by group). |
| wrapTTest.htest | Wrap t.test (difference in means by group). |
| wrapTTest.numeric | Wrap t.test (difference in means by group). |