size.ci.mape | R Documentation |
Computes the sample size required to estimate a population mean absolute prediction error for a general linear model with desired confidence interval precision. Setting s = 0 gives the sample size requirement for a mean absolute deviation in a one-group design. This function assumes that the prediction errors have an approximate normal distribution.
size.ci.mape(alpha, mape, s, w)
alpha |
alpha value for 1-alpha confidence |
mape |
mean absolute prediction error planning value |
s |
number of predictor variables |
w |
desired confidence interval width |
Returns the required sample size
size.ci.mape(.05, 4.5, 5, 2)
# Should return:
# Sample size
# 57
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