statpsych version
1.4.0 (Release date: 2023/06/15)
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’
- 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).
- Error Correction:
- ci.lc.std.mean.ws – corrected an error in the standard errord
statpsych v1.2.0
(Release date: 2022/08/15)
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 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”
statpsych 1.0.0 (Release
date: 2021/09/09)