Skip to contents

Changelog

Source: NEWS.md

statpsych version 1.8.0 (Release date: 2025/06/06)

Changes:

  • New functions:
    • test.mono.median.bs – Hypothesis test of a monotonic trend in medians for an ordered between-subjects factor
    • ci.slope.median.bs – Computes confidence interval for the slope of medians in a one-factor experimental design with a quantitative between-subjects factor
    • size.ci.cv – Computes sample size for a coefficient of variation confidence interval in a 1-group design
    • size.ci.median – Computes sample size for a median confidence interval in a 1-group design
    • size.ci.median2 – Computes sample size for a median difference confidence interval in a 2-group design
    • size.ci.lc.median.bs – Computes sample size for a linear contrast of medians confidence interval in a between-subjects design
    • size.ci.gen – Computes sample size for a confidence interval for any type of parameter in a 1-group design
    • size.ci.gen2 – Computes sample size for a confidence interval for the difference in any type of parameter in a 2-group design
    • size.test.gen – Computes sample size for a test of any type of parameter in a 1-group design
    • size.test.gen2 – Computes sample size for a test of the difference of any type of parameter in a 2-group design
  • Modifications:
    • ci.prop now adds an exact confidence interval
  • Deleted functions:
    • ci.mean1 has been replaced with ci.mean
    • ci.prop1 has been replaced with ci.prop
    • ci.median1 has been replaced with ci.median
    • ci.stdmean1 has been replaced with ci.stdmean
    • pi.var.upper has been replaced with pi.var

statpsych version 1.7.0 (Release date: 2024/12/17)

CRAN release: 2024-12-18

Changes:

  • New functions:
    • size.ci.oddsratio – Computes sample size for an odds ratio confidence interval
    • size.ci.yule – Computes sample size for a Yule’s Q confidence interval
    • size.ci.phi – Computes sample size for a phi correlation confidence interval
    • size.ci.biphi – Computes sample size for a biserial-phi correlation confidence interval
    • size.ci.ancova2 – Computes sample size for a 2-group ANCOVA confidence interval
    • size.ci.slope.gen – Computes sample size for a slope coefficient confidence interval in a general model
    • size.test.ancova2 – Computes sample size for a 2-group ANCOVA hypothesis test
    • size.test.slope.gen – Computes sample size for a slope coefficient hypothesis test in a general model
    • signal – Computes parameter estimates in a Yes/No signal detection study
    • exp.slope – Computes confidence intervals for exp(B) and 100(exp(B) - 1)%
    • ci.bayes.cor – Computes Bayesian credible interval for a Pearson or partial correlation with a skeptical prior
    • ci.bayes.spcor – Computes Bayesian credible interval for a semipartial correlation with a skeptical prior
    • pi.var – Computes one-sided or two-sided prediction limits for an estimated variance in a future study (will replace pi.var.upper)
  • Modifications
    • size.ci.prop2 can now solve for equal or unequal sample sizes. Requires a new argumnet, R, specifying the ratio of sample sizes and now returns a 2-column matrix.
    • size.ci.ratio.prop2 can now solve for equal or unequal sample sizes. Requires a new argument, R, specifying the ratio of sample sizes and now returns a 2-column matrix.
    • size.test.cor2 can now solve for equal or unequal sample sizes. Requires a new argument, R, specifying the ratio of sample sizes, and returns a 2-column matrix
    • pi.cor now has options for one-sided and two-sided prediction limits. It requires a new argument, type
    • pi.prop now has options for one-sided and two-sided prediction limits. It requires a new argument, type
    • the definition of the subscripts in the ci.2x2.mean.mixed, ci.2x2.median.mixed, and ci.2x2.stdmean.mixed functions have been changed so that the first subscript now specifies factor A and the second subscript specified factor B.
  • Error Corrections:
    • ci.2x2.stdmean.mixed – corrected an error in the standard error computation
    • size.test.lc.ancova – corrected a minor error in the sample size formula

statpsych version 1.6.0 (Release date: 2024/07/08)

CRAN release: 2024-07-09

Changes:

  • New functions:
    • ci.mean.fpc – Computes confidence interval for a mean with a finite population correction
    • ci.prop.fpc – Computes confidence interval for a proportion with a finite population correction
    • ci.poisson – Computes confidence interval for a Poisson rate
    • ci.ratio.poisson2 – Computes confidence interval for a ratio of Poisson rates in a 2-group design
    • ci.bscor – Computes confidence interval for a biserial correlation
    • pi.cor – Computes prediction interval for an estimated correlation
    • pi.prop – Computes prediction interval for an estimated proportion
    • test.cor – Hypothesis test for a Pearson or partial correlation (for zero or non-zero null hypotheses)
    • test.spear – Hypothesis test for a Spearman correlation (for zero or non-zero null hypotheses)
    • test.cor2 – Hypothesis test for a 2-group Pearson or partial correlation difference
    • test.spear2 – Hypothesis test for a 2-group Spearman correlation difference
    • test.mean – Hypothesis test for a mean using summary information
    • size.ci.cor2 – Computes sample size for a 2-group Pearson correlation difference confidence interval
    • size.ci.spear2 – Computes sample size for a 2-group Spearman correlation difference confidence interval
    • size.ci.tetra – Computes sample size for a tetrachoric correlation confidence interval
    • size.ci.mean.prior – Computes sample size for a mean confidence interval using a planning value from a prior study
    • size.ci.prop.prior – Computes sample size for a proportion confidence interval using a planning value from a prior study
    • size.ci.cor.prior – Computes sample size for a correlation confidence interval using a planning value from a prior study
    • adj.se – Computes adjusted standard errors for slope coefficients in an exploratory analysis
    • fitindices – Computes four SEM fit indices
  • Modifications:
    • ci.var.upper now computes an exact upper limit rather than an approximate upper limit
    • power computations are now more accurate for very small effect sizes in the power.cor, power.cor2, power.lc.meanc.bs, power.mean, power.mean2, power.mean.ps, power.prop, power.pro2, and power.prop.ps functions
    • size.test.prop and size.test.prop2 now assume the test statistic will use a continuity correction
    • one-group function names that end with a “1” have been renamed and now exclude the “1” (for naming consistency and to avoid confusion with lower case L).
    • ci.mape2 has been renamed ci.ratio.mape2, and ci.cod2 has been renamed ci.ratio.cod2
    • The ci.phi function now uses a Fisher transformation for improved coverage probability performance

statpsych version 1.5.0 (Release date: 2023/12/11)

CRAN release: 2023-12-20

Changes:

  • New functions:
    • ci.cv1 – Computes confidence interval for a coefficient of variation
    • ci.ratio.cv2 – Computes confidence interval for a ratio of coefficients of variation
    • ci.pv – Computes confidence intervals for positive and negative predictive values with retrospective sampling
    • ci.2x2.stdmean.ws – Computes confidence intervals of standardized effects in a 2x2 within-subjects design
    • ci.2x2.stdmean.mixed – Computes confidence intervals of standardized effects in a 2x2 mixed design
    • ci.2x2.median.ws – Computes confidence intervals of effects in a 2x2 within-subjects design for medians
    • ci.2x2.median.mixed – Computes confidence intervals of effects in a 2x2 mixed design
      for medians
    • spearmanbrown – Computes the reliability of a scale with r2 measurements given the reliability of a scale with r1 measurements
    • size.ci.spear – Computes the sample size requirement for a Spearman correlation confidence interval
    • size.ci.pbcor – Computes the sample size requirement for a point-biserial correlation confidence interval
    • size.ci.mape1 – Computes the sample size requirement for a mean absolute prediction error confidence interval
  • Error Corrections:
    • ci.cramer – corrected an error in the CI computation
    • ci.lc.stdmean.ws – corrected an error in the standard error computation
  • Modifications:
    • both biased and bias adjusted estimates are now reported in ci.stdmean1, ci.stdmean2, ci.stdmean.ps, ci.stdmean.strat, and ci.2x2.stdmean.bs
    • ci.mape has been renamed ci.mape1

statpsych version 1.4.0 (Release date: 2023/06/26)

CRAN release: 2023-06-14

Changes:

  • New functions:
    • power.prop1 – Computes power for 1-sample test of proportion for a planned sample size
    • power.prop2 – Computes power for 2-sample test of proportion for planned sample sizes
    • power.prop.ps – Computes power for paired-samples test of proportion for a planned sample size
    • power.mean1 – Computes power for 1-sample t-test for a planned sample size
    • power.mean2 – Computes power for 2-sample t-test for planned sample sizes
    • power.mean.ps – Computes power for paired-samples t-test for a planned sample size
    • power.lc.mean.bs – Computes power of a test for a linear contrast of means for planned sample sizes in a between-subjects design
    • power.cor1 – Computes power for 1-sample test of correlation for a planned sample size
    • power.cor2 – Computes power for 2-sample test of correlations for planned sample sizes
    • ci.cqv1 – Computes confidence interval for a population coefficient of qualitative variation
    • ci.prop1.inv – Computes confidence interval for a population proportion using inverse
      sampling
    • ci.prop2.inv – Computes confidence interval for a difference in population proportions using inverse sampling
    • ci.agree.3rater – Computes confidence intervals for a 3-rater design with dichotomous ratings
    • ci.ratio.sd2 – Computes robust confidence interval for ratio of standard deviations in a 2-group design
    • size.test.cor2 – Computes sample size for a test of equal Pearson or partial correlation in a 2-group design
    • size.test.cronbach2 – Computes sample size to test equality of Cronbach reliability
      coefficients in a 2-group design
    • size.ci.cronbach2 – Computes sample size for a 2-group Cronbach reliability difference confidence interval
    • size.ci.etasqr – Computes sample size for an eta-squared confidence interval
    • size.ci.indirect – Computes sample size for an indirect effect confidence interval
    • ci.mape2 – Computes confidence interval for a ratio of mean absolute prediction errors in a 2-group design
    • ci.rel2 – Computes confidence interval for a 2-group reliability difference
    • ci.cronbach2 – Computes confidence interval for a difference in Cronbach reliabilities in
      a 2-group design
    • ci.2x2.stdmean.bs – Computes confidence intervals of standardized effects in a 2x2 between-subjects design for means
    • ci.2x2.median.bs – Computes confidence intervals of effects in a 2x2 between-subjects design for medians
    • pi.var.upper – Computes upper prediction limit for an estimated variance
    • ci.bayes.normal – Computes Bayesian credible interval for any parameter estimator with a normal sampling distributuion using a Normal prior distribution
    • ci.bayes.prop1 – Computes Bayesian credible interval for a single proportion using a Beta prior distribution
  • Modifications:
    • Corrected Example output in ci.reliability and ci.prop.ps
    • SE added to output in: ci.cronbach, ci.oddsratio, ci.yule, ci.etasqr, ci.rsqr, ci.spear2, ci.cor2, ci.cor.dep, ci.cod1, ci.mad1, ci.mape, ci.agree2, ci.pbcor, and ci.tetra
    • Improved accuracy in size.ci.rsqr
    • Three generalized Yule coefficients added to ci.yule
    • The ci.prop.ps, ci.ratio.prop.ps, and ci.2x2.prop.mixed functions now define proportions for the y = 1 category rather than the y = 0 category.

statpsych v1.3.0 (Release date: 2023/01/01)

CRAN release: 2023-01-11

Changes:

  • New functions:
    • ci.theil – Theil-Sen estimate and confidence interval for slope
    • sim.ci.median2 – Simulates confidence interval coverage probability for a median difference in a two-group design
    • sim.ci.median.ps – Simulates confidence interval coverage probability for a median difference in a paired design
    • sim.ci.stdmean2 – Simulates confidence interval coverage probability for a standardized mean difference in a two-group design
    • pi.score.ps – Prediction interval for difference of scores in a 2-level within-subjects experiment
  • Updated outputs:
    • ci.cod1 – first column is ‘Estimate’, no longer ‘COD’
    • ci.cod2 – first column is ‘Estimate’, no longer ‘COD1’
    • ci.cramer – first column is ‘Estimate’, no longer ‘Cramer’s V’
    • ci.lc.stdmean.bs – now returns 3 rows, adding sample size for group 1 standardizer
    • ci.lc.stdmean.ws – now returns two rows, one for each standardizer
    • ci.mad1 – first column is ‘Estimate’, no longer ‘MAD’
    • ci.mape – first column is ‘Estimate’, no longer ‘MAPE’
    • size.ci.lc.stdmean.bs – now returns two rows, one for each standardizer
    • size.ci.lc.stdmean.ws – now returns two rows, one for each standardizer
    • size.ci.stdmean2 – now returns two rows, one for each standardizer
    • size.ci.stdmean.ps – now returns two rows, one for each standardizer
    • ci.mann – now returns a confidence interval for P(y1 > y2) rather than P(y1 < y2).

statpsych v1.2.0 (Release date: 2022/08/15)

CRAN release: 2022-08-19

Changes:

  • New functions:
    • ci.cramer - Confidence interval for Cramer’s V
    • ci.2x2.mean.bs - Confidence intervals for effects in a 2x2 between-subjects design for means
    • ci.2x2.mean.ws - Confidence intervals for effects in a 2x2 within-subjects design for means
    • ci.2x2.mean.mixed - Confidence intervals for effects in a 2x2 mixed design for means
    • ci.2x2.prop.bs - Confidence intervals for effects in a 2x2 between-subjects design for proportions
    • ci.2x2.prop.mixed - Confidence intervals for effects in a 2x2 mixed design for proportions
    • sim.ci.mean1 – Simulation of confidence interval for a mean
    • sim.ci.mean2 – Simulation of confidence interval for mean difference in a two-group design
    • sim.ci.mean.ps – Simulation of confidence interval for mean difference in a paired-samples design
    • sim.ci.median1 – Simulation of confidence interval for a single median
    • sim.ci.cor – Simulation of confidence interval for a Pearson correlation
    • sim.ci.spear – Simulation of confidence interval for a Spearman correlation
  • Modifications:
    • The ci.prop.ps function now outputs an adjusted point estimate of the proportion difference, as stated in the documentation, rather than an unadjusted estimate
    • The ci.cor, ci.cor2, and ci.cor.dep functions now uses a bias adjustment to reduce the bias of the Fisher transformed correlations
    • The ci.median1 function now uses the same standard error formula as the ci.median2, ci.ratio.median2, and ci.median.ps functions
  • Error Correction:
    • ci.indirect – Corrected an error in the standard error computation

statpsych v1.1.0 (Release date: 2022/06/30)

CRAN release: 2022-06-22

Changes:

  • New functions:
    • ci.agree2 - Confidence interval for G-index difference in a 2-group design
    • ci.cod2 - Confidence interval for a ratio of dispersion coefficients in a 2-group
    • ci.etasqr - Confidence interval for eta-squared
    • ci.lc.gen.bs - Confidence interval for a linear contrast of parameters in a between-subjects design
    • ci.lc.glm - Confidence interval for a linear contrast of general linear model parameters
    • ci.reliability - Confidence interval for a reliability coefficient
    • ci.rsqr - Confidence interval for squared multiple correlation
    • ci.sign1 - Confidence interval for the parameter of the one-sample sign test
    • ci.slope.mean.bs - Confidence interval for the slope of means in a single-factor design with a quantitative between-subjects factor
    • test.kurtosis - Computes Monte Carlo p-value for test of excess kurtosis
    • test.skew - Computes Monte Carlo p-value for test of skewness
    • test.mono.mean.bs - Test of a monotonic trend in means for an ordered between-subjects factor
    • test.mono.prop.bs - Test of monotonic trend in proportions for an ordered between-subjects
    • etasqr.gen.2way - Computes generalized eta-squared estimates in a two-factor design
  • Updated documentation for consistency
  • Changed arguments for some functions for consistency
    • size.test.cronbach now takes (alpha, pow, rel, r, h) rather than (alpha, pow, rel, a, h)
    • ci.cronbach now takes (alpha, rel, r, n) rather than (alpha, rel, a, n)
  • Changed some of the column names in returned matrixes for consistency:
    • ci.median.ps, the last column is now “COV” rather than “cov”

statpsych 1.0.0 (Release date: 2021/09/09)

CRAN release: 2021-09-09

  • Initial release