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)