Provides residuals and overdispersion metrics to assess the fit of N-mixture models obtained using the package 'unmarked'. 
    Details on the methods are given in Knape et al. (2017) <doi:10.1101/194340>.

We fit inverse probability weighting estimator and the augmented inverse probability weighting for non-monotone missing at random data.

Functions, examples and data from the first and
  the second edition of "Numerical Methods and Optimization in
  Finance" by M. Gilli, D. Maringer and E. Schumann (2019,
  ISBN:978-0128150658).  The package provides implementations
  of optimisation heuristics (Differential Evolution, Genetic
  Algorithms, Particle Swarm Optimisation, Simulated Annealing
  and Threshold Accepting), and other optimisation tools, such
  as grid search and greedy search.  There are also functions
  for the valuation of financial instruments such as bonds and
  options, for portfolio selection and functions that help
  with stochastic simulations.

There are three distinct approaches for phase error correction, they are: a single linear model with a choice of optimization functions, multiple linear models with optimization function choices and a shrinkage-based method. The methodology is based on our new algorithms and various references (Binczyk et al. (2015) <doi:10.1186/1475-925X-14-S2-S5>,Chen et al. (2002) <doi:10.1016/S1090-7807(02)00069-1>, de Brouwer (2009) <doi:10.1016/j.jmr.2009.09.017>, Džakula (2000) <doi:10.1006/jmre.2000.2123>, Ernst (1969) <doi:10.1016/0022-2364(69)90003-1>, Liland et al. (2010) <doi:10.1366/000370210792434350>).

A reproducible workflow for binning and visualizing NMR (nuclear magnetic resonance) spectra from environmental samples. The 'nmrrr' package is intended for post-processing of NMR data, including importing, merging and, cleaning data from multiple files, visualizing NMR spectra, performing binning/integrations for compound classes, and relative abundance calculations. 
    This package can be easily inserted into existing analysis workflows by users to help with analyzing and interpreting NMR data.