ci.cv |
Confidence interval for the coefficient of variation |
ci.R2 |
Confidence intervals for the squared multiple correlation coefficient |
ci.reg.coef |
confidence interval for a regression coefficient |
ci.smd |
Confidence limits for the standardized mean difference. |
ci.smd.c |
Confidence limits for the standardized mean difference using the control group standard deviation as the divisor. |
conf.limits.nc.chisq |
Confidence limits for noncentral chi square parameters |
conf.limits.ncf |
Confidence limits for noncentral F parameters |
conf.limits.nct |
Confidence limits for a noncentrality parameter from a t-distribution |
conf.limits.nct.M1 |
Confidence limits for a noncentrality parameter from a t-distribution (Method 1 of 3) |
conf.limits.nct.M2 |
Confidence limits for a noncentrality parameter from a t-distribution (Method 2 of 3) |
conf.limits.nct.M3 |
Confidence limits for a noncentrality parameter from a t-distribution (Method 3 of 3) |
cv |
Function to calculate the regular (and biased) estimate of the coefficient of variation or the unbiased estimate of the coefficient of variation. |
delta2lambda |
Conversion functions for noncentral t-distribution |
Expected.R2 |
Expected value of the squared multiple correlation coefficient |
F2Rsquare |
Conversion functions from noncentral noncentral values to their corresponding and vice versa, for those related to the F-test and R Square. |
Gardner.LD |
The Gardner learning data, which was used by L.R. Tucker |
lambda2delta |
Conversion functions for noncentral t-distribution |
Lambda2Rsquare |
Conversion functions from noncentral noncentral values to their corresponding and vice versa, for those related to the F-test and R Square. |
MBES |
Methods for the Behavioral, Educational, and Social Sciences |
mbes |
Methods for the Behavioral, Educational, and Social Sciences |
MBESS |
Methods for the Behavioral, Educational, and Social Sciences |
mbess |
Methods for the Behavioral, Educational, and Social Sciences |
Rsquare2F |
Conversion functions from noncentral noncentral values to their corresponding and vice versa, for those related to the F-test and R Square. |
Rsquare2Lambda |
Conversion functions from noncentral noncentral values to their corresponding and vice versa, for those related to the F-test and R Square. |
s.u |
Unbiased estiamte for the standard deviation |
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.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.R2 |
Sample Size Planning for Accuracy in Parameter Estimation (i.e., precision) 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.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 planing from the Accuracy in Parameter Estimation Perspective for the (standardized and unstandardized) regression coefficient |
ss.aipe.smd |
Sample size planning for Accuracy in Parameter Estimation (AIPE) of the standardized mean difference |
ss.aipe.smd.full |
Sample size planning for Accuracy in Parameter Estimation (AIPE) of the standardized mean difference |
ss.aipe.smd.lower |
Sample size planning for Accuracy in Parameter Estimation (AIPE) of the standardized mean difference |
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 Accuracy in Parameter Estimation (AIPE) of the standardized mean difference |
ss.power.R2 |
Function to plan sample size so that the test of the squred multiple correlation coefficient is sufficiently powerful. |
ss.power.reg.coef |
sample size for a targeted regression coefficient |
Variance.R2 |
Variance of squared multiple correlation coefficient |
verify.ss.aipe.R2 |
Internal MBESS function for verifying the sample size in ss.aipe.R2 |
vit |
Visualize individual trajectories |