powered by
This function computes the mean and variance of a normal distributions that has been truncated at one or both ends.
truncate_dist(a = -Inf, b = Inf, mean = 0, sd = 1)
Quantile (i.e., cut score) below which scores should be censored from the distribution.
Quantile (i.e., cut score) above which scores should be censored from the distribution.
Scalar mean or vector of means.
Scalar standard deviation or vector of standard deviations.
A matrix of truncated means (column 1) and truncated variances (column 2).
# NOT RUN { truncate_dist(a = -1, b = 3, mean = 0, sd = 1) truncate_dist(a = 1, b = Inf, mean = 0, sd = 1) truncate_dist(a = c(-1, 1), b = c(3, Inf), mean = 0, sd = 1) # }
Run the code above in your browser using DataLab