Statistical Analyses and Pooling after Multiple Imputation. A large variety 
   of repeated statistical analysis can be performed and finally pooled. Statistical analysis 
   that are available are, among others, Levene's test, Odds and Risk Ratios, One sample 
   proportions, difference between proportions and linear and logistic regression models. 
   Functions can also be used in combination with the Pipe operator. 
   More and more statistical analyses and pooling functions will be added over time.
   Heymans (2007) <doi:10.1186/1471-2288-7-33>.
   Eekhout (2017) <doi:10.1186/s12874-017-0404-7>.
	 Wiel (2009) <doi:10.1093/biostatistics/kxp011>.
	 Marshall (2009) <doi:10.1186/1471-2288-9-57>.
	 Sidi (2021) <doi:10.1080/00031305.2021.1898468>.
	 Lott (2018) <doi:10.1080/00031305.2018.1473796>.
	 Grund (2021) <doi:10.31234/osf.io/d459g>.

Various tools for microeconomic analysis and microeconomic modelling,
   e.g. estimating quadratic, Cobb-Douglas and Translog functions,
   calculating partial derivatives and elasticities of these functions,
   and calculating Hessian matrices, checking curvature
   and preparing restrictions for imposing monotonicity of Translog functions.

Functions and tools
   for analysing consumer demand
   with the Almost Ideal Demand System (AIDS)
   suggested by Deaton and Muellbauer (1980).

Tools for econometric analysis and economic modelling
   with the traditional two-input Constant Elasticity of Substitution (CES) function
   and with nested CES functions with three and four inputs.
   The econometric estimation can be done by the Kmenta approximation,
   or non-linear least-squares
   using various gradient-based or global optimisation algorithms.
   Some of these algorithms can constrain the parameters to certain ranges,
   e.g. economically meaningful values.
   Furthermore, the non-linear least-squares estimation
   can be combined with a grid-search for the rho-parameter(s).
   The estimation methods are described in Henningsen et al. (2021)
   <doi:10.4337/9781788976480.00030>.