dlnorm_summary {invivoPKfit} | R Documentation |
Log-normal distribution density function for summary data
Description
Evaluates the normal distribution density function for summary data reported as sample mean, sample SD, and sample N. Sample mean and sample SD should be on the *natural* scale. If you have log-scale sample mean and SD (i.e., the mean and SD of log-transformed observations),then use [dnorm_summary()] instead.
Usage
dlnorm_summary(mu, sigma, x_mean, x_sd, x_N, log = FALSE)
Arguments
mu |
*Log-scale* mean of the log-normal distribution to be evaluated (*not* the sample mean). May be a numeric scalar or vector. |
sigma |
*Log-scale* standard deviation of the log-normal distribution to be evaluated (*not* the sample SD). May be a numeric scalar or vector. |
x_mean |
Sample mean (on the *natural* scale). May be a numeric scalar or vector. |
x_sd |
Sample standard deviation (on the *natural* scale). May be a numeric scalar or vector. |
x_N |
Sample number of observations. May be a numeric scalar or vector. |
log |
TRUE/FALSE: Whether to return the log of the density function (i.e., the log-likelihood). Default FALSE. |
Details
'x_mean', 'x_sd', 'X_N', 'mu', and 'sigma' should either be all the same size, or length 1. If they are different lengths, they will be repeated until their lengths match, with a warning.
Value
A numeric scalar or vector matching the length of the longest of 'mu', 'sigma', 'x_mean', 'x_sd', and 'x_N'.
Author(s)
Caroline Ring