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)
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)
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'
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 single 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:
Corrected an error for the standard error computation in the ci.indirect function
statpsych v1.1.0 (Release date: 2022/06/30)
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"