Estimate the parameters of the lognormal approximation to the sum
estimateSumLognormalSample(mu, sigma, resLog,
effAcf = computeEffectiveAutoCorr(resLog),
isGapFilled = logical(0), na.rm = TRUE)numeric vector of center parameters of terms at log scale
numeric vector of variance parameter of terms at log scale
time series of model-residuals at log scale to estimate correlation
effective autocorrelation
coefficients (may provide precomputed for efficiency or if the sample
of resLog is too small) set to 1 to assume uncorrelated sample
logical vector whether entry is gap-filled rather than an original measurement, see details
neglect terms with NA values in mu or sigma
numeric vector with components mu, sigma,
and nEff,
the parameters of the lognormal distribution at log scale
(Result of link{estimateSumLognormal})
and the number of effective observations.
If there are no gap-filled values, i.e. all(!isGapFilled) or
!length(isGapFilled) (the default), distribution parameters
are estimated using all the samples. Otherwise, the scale parameter
(uncertainty) is first estimated using only the non-gapfilled records.
Also use isGapFilled == TRUE for records, where sigma cannot be trusted. When setting sigma to missing, this is also affecting the expected value.
If there are only gap-filled records, assume uncertainty to be (before v0.1.5: the largest uncertainty of given gap-filled records.) the mean of the given multiplicative standard deviation