stats, systemfit (>= 1.1-12), miscTools (>= 0.6-0)

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

Analysis with the Constant Elasticity of Scale (CES) function
Arne Henningsen and Geraldine Henningsen
Tools for economic analysis and economic modelling with a
Constant Elasticity of Scale (CES) function

Tools for economic analysis and economic modelling with a Constant Elasticity of Scale (CES) function

Analysis with the Constant Elasticity of Substitution (CES)
function
Tools for economic analysis and economic modelling
with a Constant Elasticity of Substitution (CES) function

Analysis with the Constant Elasticity of Substitution (CES)
Function
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).

Tools for calculating Laspeyres, Paasche, and Fisher
price and quantity indices.

Symmetric Normalized Quadratic Profit Function
miscTools (>= 0.6-1), systemfit (>= 1.0-0), MASS
Tools for econometric production analysis
with the Symmetric Normalized Quadratic (SNQ) profit function,
e.g. estimation, imposing convexity in prices,
and calculating elasticities and shadow prices.

Production analysis with the Symmetric Normalized
Quadratic (SNQ) profit function

Production analysis with the Symmetric Normalized Quadratic (SNQ) profit function

c(person(given = "Yannick",
family = "Marcon",
role = c("aut", "cre"),
email = "yannick.marcon@obiba.org",
comment = c(ORCID = "0000-0003-0138-2023")),
person("OBiBa group",
role="cph",
email="info@obiba.org"))
'Mica' is a server application used to create data web portals for
large-scale epidemiological studies or multiple-study consortia. 'Mica' helps
studies to provide scientifically robust data visibility and web presence
without significant information technology effort. 'Mica' provides a
structured description of consortia, studies, annotated and searchable data
dictionaries, and data access request management. This 'Mica' client allows
to perform data extraction for reporting purposes.
Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>),
OBiBa group [cph]