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double scythe::dlnorm ( double  x, double  logmean, double  logsd  ) [inline] The log-normal density function. Computes the value of the log-normal probability density function with mean logmean and standard deviation logsd, at the desired quantile x. It is also possible to call this function with a Matrix of doubles as its first argument. In this case the function will return a Matrix of doubles of the same dimension as x, containing the result of evaluating this function at each value in x, given the remaining fixed parameters. By default, the returned Matrix will be concrete and have the same matrix_order as x, but you may invoke a generalized version of the function with an explicit template call. Parameters: x The desired quantile. logmean The mean of the distribution. logsd The positive standard deviation of the distribution. See also: plnorm(double x, double logmean, double logsd) rng::rlnorm(double logmean, double logsd) dnorm(double x, double logmean, double logsd) Exceptions: scythe_invalid_arg (Level 1) References exp(), log(), SCYTHE_CHECK_10, and sqrt().