Sum of lognormals: if all values are gap-filled, assume multiplicative standard deviation (sigmaStar) of the sum to be the mean of given sigmaStar. Before took it assumed to be the maximum. But this led to larger confidence bounds compared to using the normal assumption.

Estimate parameters from various statistics, such as mean and an upper quantile value, i.e. a practical maximum.

Support common case of estimating standard error in the presence of correlations: function `seCor`

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estimateSumLognormal by default now returns NA if there are NA values in terms. New argument na.rm = TRUE allows for previous behavior of neglecting those terms.

- Compute effective number of observations
- fixed bracketing bug in formula
- better dealing with NA at begin or end

basic setup