r_prec: Compute Precision Analyses for Correlations This approach...
In chrisaberson/pwr2ppl: Power Analyses for Common Designs (Power to the People)

Compute Precision Analyses for Correlations This approach simply loops a function from MBESS

1	r_prec(r, nlow, nhigh, ci = 0.95, by = 1)

`r`	Correlation
`nlow`	starting sample size
`nhigh`	ending sample size
`ci`	Type of Confidence Interval (e.g., .95)
`by`	Incremental increase in sample (e.g. nlow = 10, nhigh = 24, by = 2, produces estimates of 10, 12, and 14)

Precision Analyses for Correlations

1	r_prec(r=.3, nlow=80, nhigh=400, by=20, ci=.95)

chrisaberson/pwr2ppl documentation built on Dec. 2, 2019, 7:08 a.m.

chrisaberson/pwr2ppl index

README.md

IMP: Interactive Model Performance Evaluation

lbreg: Log-Binomial Regression with Constrained Optimization

nonrandom: Stratification and matching by the propensity score

kvh: Read/Write Files in Key-Value-Hierarchy Format

WPC: Weighted Predictiveness Curve

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

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