computefps: rename 'reduce.latarts' into 'disprel' to make it explicit that this form stems from the lattice dispersion relation and doesn't necessarily reduce the effect of lattice artefacts
fit.effectivemass: when resampling fails and columns are removed from the data because there are too many NAs, the inverse covariance matrix needs to be recomputed
analysis functions for pipi scattering
matrixfit: in dmatrixChisqr, do not forget first contribution to derivative
plot.effectivemass: fix palette mangling and use colours directly
Merge pull request #13 from kostrzewa/no.replace.palette

plot.effectivemass: fix palette mangling and use colours directly
Merge pull request #12 from kostrzewa/fix.dmatrixChisqr

matrixfit: in dmatrixChisqr, do not forget first contribution to derivative
Merge pull request #11 from kostrzewa/recompute.invCovMatrix

upon removal of columns, recompute inverse covariance matrix for error computation in effectivemass
computefps: update documentation, taking into account the renaming of 'reduce.lararts' into 'disprel'
Merge pull request #10 from kostrzewa/rename.latarts

computefps: rename 'reduce.latarts' into 'disprel'
matrixfit, fit.effectivemass: Make the computation of errors on the fit parameters through bootstrapping optional, even if bootstrap samples are used to compute the inverse of the covariance matrix for the fit. This saves time if one is checking the distribution of fit results as a function of the fit range, for example
fit.effectivemass: when boot.fit=FALSE, explicitly set massfit.tsboot to NA
computefps: make bootstrapping of the decay constant computation optional