s.u |
Unbiased estimate of the population standard deviation |
Sigma.2.SigmaStar |
Construct a covariance matrix with specified error of approximation |
signal.to.noise.R2 |
Signal to noise using squared multiple correlation coefficient |
smd |
Standardized mean difference |
smd.c |
Standardized mean difference using the control group as the basis of standardization |
ss.aipe.c |
Sample size planning for an ANOVA contrast from the Accuracy in Parameter Estimation (AIPE) perspective |
ss.aipe.c.ancova |
Sample size planning for a contrast in randomized ANCOVA from the Accuracy in Parameter Estimation (AIPE) perspective |
ss.aipe.c.ancova.sensitivity |
Sensitivity analysis for sample size planning for the (unstandardized) contrast in randomized ANCOVA from the Accuracy in Parameter Estimation (AIPE) Perspective |
ss.aipe.crd.both.fixedbudget |
Find target sample sizes for the accuracy in unstandardized conditions means estimation in CRD |
ss.aipe.crd.both.fixedwidth |
Find target sample sizes for the accuracy in unstandardized conditions means estimation in CRD |
ss.aipe.crd.es.both.fixedbudget |
Find target sample sizes for the accuracy in standardized conditions means estimation in CRD |
ss.aipe.crd.es.both.fixedwidth |
Find target sample sizes for the accuracy in standardized conditions means estimation in CRD |
ss.aipe.crd.es.nclus.fixedbudget |
Find target sample sizes for the accuracy in standardized conditions means estimation in CRD |
ss.aipe.crd.es.nclus.fixedwidth |
Find target sample sizes for the accuracy in standardized conditions means estimation in CRD |
ss.aipe.crd.es.nindiv.fixedbudget |
Find target sample sizes for the accuracy in standardized conditions means estimation in CRD |
ss.aipe.crd.es.nindiv.fixedwidth |
Find target sample sizes for the accuracy in standardized conditions means estimation in CRD |
ss.aipe.crd.nclus.fixedbudget |
Find target sample sizes for the accuracy in unstandardized conditions means estimation in CRD |
ss.aipe.crd.nclus.fixedwidth |
Find target sample sizes for the accuracy in unstandardized conditions means estimation in CRD |
ss.aipe.crd.nindiv.fixedbudget |
Find target sample sizes for the accuracy in unstandardized conditions means estimation in CRD |
ss.aipe.crd.nindiv.fixedwidth |
Find target sample sizes for the accuracy in unstandardized conditions means estimation in CRD |
ss.aipe.cv |
Sample size planning for the coefficient of variation given the goal of Accuracy in Parameter Estimation approach to sample size planning |
ss.aipe.cv.sensitivity |
Sensitivity analysis for sample size planning given the Accuracy in Parameter Estimation approach for the coefficient of variation. |
ss.aipe.pcm |
Sample size planning for polynomial change models in longitudinal study |
ss.aipe.R2 |
Sample Size Planning for Accuracy in Parameter Estimation for the multiple correlation coefficient. |
ss.aipe.R2.sensitivity |
Sensitivity analysis for sample size planning with the goal of Accuracy in Parameter Estimation (i.e., a narrow observed confidence interval) |
ss.aipe.rc |
Sample size necessary for the accuracy in parameter estimation approach for an unstandardized regression coefficient of interest |
ss.aipe.rc.sensitivity |
Sensitivity analysis for sample size planing from the Accuracy in Parameter Estimation Perspective for the unstandardized regression coefficient |
ss.aipe.reg.coef |
Sample size necessary for the accuracy in parameter estimation approach for a regression coefficient of interest |
ss.aipe.reg.coef.sensitivity |
Sensitivity analysis for sample size planning from the Accuracy in Parameter Estimation Perspective for the (standardized and unstandardized) regression coefficient |
ss.aipe.reliability |
Sample Size Planning for Accuracy in Parameter Estimation for Reliability Coefficients. |
ss.aipe.rmsea |
Sample size planning for RMSEA in SEM |
ss.aipe.rmsea.sensitivity |
a priori Monte Carlo simulation for sample size planning for RMSEA in SEM |
ss.aipe.sc |
Sample size planning for Accuracy in Parameter Estimation (AIPE) of the standardized contrast in ANOVA |
ss.aipe.sc.ancova |
Sample size planning from the AIPE perspective for standardized ANCOVA contrasts |
ss.aipe.sc.ancova.sensitivity |
Sensitivity analysis for the sample size planning method for standardized ANCOVA contrast |
ss.aipe.sc.sensitivity |
Sensitivity analysis for sample size planning for the standardized ANOVA contrast from the Accuracy in Parameter Estimation (AIPE) Perspective |
ss.aipe.sem.path |
Sample size planning for SEM targeted effects |
ss.aipe.sem.path.sensitiv |
a priori Monte Carlo simulation for sample size planning for SEM targeted effects |
ss.aipe.sm |
Sample size planning for Accuracy in Parameter Estimation (AIPE) of the standardized mean |
ss.aipe.sm.sensitivity |
Sensitivity analysis for sample size planning for the standardized mean from the Accuracy in Parameter Estimation (AIPE) Perspective |
ss.aipe.smd |
Sample size planning for the standardized mean difference from the Accuracy in Parameter Estimation (AIPE) perspective |
ss.aipe.smd.full |
Sample size planning for the standardized mean different from the accuracy in parameter estimation approach |
ss.aipe.smd.lower |
Sample size planning for the standardized mean different from the accuracy in parameter estimation approach |
ss.aipe.smd.sensitivity |
Sensitivity analysis for sample size given the Accuracy in Parameter Estimation approach for the standardized mean difference. |
ss.aipe.smd.upper |
Sample size planning for the standardized mean different from the accuracy in parameter estimation approach |
ss.aipe.src |
sample size necessary for the accuracy in parameter estimation approach for a standardized regression coefficient of interest |
ss.aipe.src.sensitivity |
Sensitivity analysis for sample size planing from the Accuracy in Parameter Estimation Perspective for the standardized regression coefficient |
ss.power.pcm |
Sample size planning for power for polynomial change models |
ss.power.R2 |
Function to plan sample size so that the test of the squared multiple correlation coefficient is sufficiently powerful. |
ss.power.rc |
sample size for a targeted regression coefficient |
ss.power.reg.coef |
sample size for a targeted regression coefficient |
ss.power.sem |
Sample size planning for structural equation modeling from the power analysis perspective |