R Observatory: Metrics for micEcon version 0.6-20

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

micEcon

0.6-20Package record

Microeconomic Analysis and Modelling

3packages dependsuggested by 3

16.3Kdownloads / year

86.9%test coverage

8/13flavors OK

Overview

About

Maintained by Arne HenningsenCRAN page ↗Website ↗

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.

Changes in 0.6-20

the internal functions .quadFuncCheckHomWeights() and .quadFuncVarHom() are no longer exported
minor improvements in the documentation

From NEWS in the release

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("micEcon", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-micecon

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-micEcon

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-micEcon

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

5NOTE8OK

Check messages

NOTEtestsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64

r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Running ‘cobbDouglasTest.R’
  Comparing ‘cobbDouglasTest.Rout’ to ‘cobbDouglasTest.Rout.save’ ... OK
  Running ‘logDataSetTest.R’
  Comparing ‘logDataSetTest.Rout’ to ‘logDataSetTest.Rout.save’ ... OK
  Running ‘quadFunc.R’
  Comparing ‘quadFunc.Rout’ to ‘quadFunc.Rout.save’ ...
60,62c60
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, 
<     data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
337,338c335
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + 
<     b_2_2 + b_2_3 + b_3_3 + d_1, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
543,544c540
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + 
<     b_2_2 + b_2_3 + b_3_3 + d_1 + d_2, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
679c675
< lm(formula = y ~ 1 + d_1 + d_2 + d_3 + d_4, data = estData)
---
> lm(formula = as.formula(estFormula), d
...[truncated]...
2
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, 
<     data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
505,507c499
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, 
<     data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
559,561c551
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4 + 
<     d_1, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
713,715c703
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4 + 
<     d_1, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
  Running ‘utilityTest.R’
  Comparing ‘utilityTest.Rout’ to ‘utilityTest.Rout.save’ ... OK

r-devel-linux-x86_64-debian-clang

Running ‘cobbDouglasTest.R’ [5s/7s]
  Comparing ‘cobbDouglasTest.Rout’ to ‘cobbDouglasTest.Rout.save’ ... OK
  Running ‘logDataSetTest.R’ [1s/2s]
  Comparing ‘logDataSetTest.Rout’ to ‘logDataSetTest.Rout.save’ ... OK
  Running ‘quadFunc.R’ [3s/4s]
  Comparing ‘quadFunc.Rout’ to ‘quadFunc.Rout.save’ ...
60,62c60
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, 
<     data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
337,338c335
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + 
<     b_2_2 + b_2_3 + b_3_3 + d_1, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
543,544c540
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + 
<     b_2_2 + b_2_3 + b_3_3 + d_1 + d_2, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
679c675
< lm(formula = y ~ 1 + d_1 + d_2 + d_3 + d_4, data = estData)
---
> lm(formula = a
...[truncated]...
ormula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, 
<     data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
505,507c499
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, 
<     data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
559,561c551
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4 + 
<     d_1, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
713,715c703
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4 + 
<     d_1, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
  Running ‘utilityTest.R’ [1s/2s]
  Comparing ‘utilityTest.Rout’ to ‘utilityTest.Rout.save’ ... OK

r-devel-linux-x86_64-debian-gcc

Running ‘cobbDouglasTest.R’ [3s/4s]
  Comparing ‘cobbDouglasTest.Rout’ to ‘cobbDouglasTest.Rout.save’ ... OK
  Running ‘logDataSetTest.R’ [1s/1s]
  Comparing ‘logDataSetTest.Rout’ to ‘logDataSetTest.Rout.save’ ... OK
  Running ‘quadFunc.R’ [2s/3s]
  Comparing ‘quadFunc.Rout’ to ‘quadFunc.Rout.save’ ...
60,62c60
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, 
<     data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
337,338c335
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + 
<     b_2_2 + b_2_3 + b_3_3 + d_1, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
543,544c540
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + 
<     b_2_2 + b_2_3 + b_3_3 + d_1 + d_2, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
679c675
< lm(formula = y ~ 1 + d_1 + d_2 + d_3 + d_4, data = estData)
---
> lm(formula = a
...[truncated]...
ormula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, 
<     data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
505,507c499
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, 
<     data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
559,561c551
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4 + 
<     d_1, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
713,715c703
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4 + 
<     d_1, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
  Running ‘utilityTest.R’ [1s/1s]
  Comparing ‘utilityTest.Rout’ to ‘utilityTest.Rout.save’ ... OK

r-devel-windows-x86_64

Running 'cobbDouglasTest.R' [4s]
  Comparing 'cobbDouglasTest.Rout' to 'cobbDouglasTest.Rout.save' ... OK
  Running 'logDataSetTest.R' [1s]
  Comparing 'logDataSetTest.Rout' to 'logDataSetTest.Rout.save' ... OK
  Running 'quadFunc.R' [3s]
  Comparing 'quadFunc.Rout' to 'quadFunc.Rout.save' ...
60,62c60
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, 
<     data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
337,338c335
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + 
<     b_2_2 + b_2_3 + b_3_3 + d_1, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
543,544c540
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + 
<     b_2_2 + b_2_3 + b_3_3 + d_1 + d_2, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
679c675
< lm(formula = y ~ 1 + d_1 + d_2 + d_3 + d_4, data = estData)
---
> lm(formula = as.formula
...[truncated]...
m(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, 
<     data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
505,507c499
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, 
<     data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
559,561c551
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4 + 
<     d_1, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
713,715c703
< lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + 
<     b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4 + 
<     d_1, data = estData)
---
> lm(formula = as.formula(estFormula), data = estData)
  Running 'utilityTest.R' [1s]
  Comparing 'utilityTest.Rout' to 'utilityTest.Rout.save' ... OK

CRAN check page ↗

Slowest check: 1.9 min · r-oldrel-windows-x86_64

Status changes

NOTE8 OK, 5 NOTENow
NOTE12 OK, 1 NOTE2026-09-04
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08

Show 1 earlier changeHide 1 earlier change

OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.6-20

READMENoVignettesNoNEWSYes · 33% structured · mentions 0.6-20Citation fileNoWebsiteYes

Help pages: 29
Examples that run: 100%18 run in a plain check
Exported functions with examples: 90%
Documented parameters: 100%
Return-value docs: 85%
Help pages citing references: 7%

How these are measured

Downloads

16.3K

CRAN downloads in the past year

Rank #3,395 · ~45/day · ~1.4K/mo

Releases R versions

Daily download trend is not available in this view yet.

1.2K30 days

3.3K90 days

16.3K1 year

Compare downloads with other packages →

Also on206 r2u6 autocran124 c2d4u

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing micEcon adds 14 packages (7 with compiled code, 9.4 MB of source tarballs). Heaviest: Rcpp 1.8 MB, collapse 1.4 MB, sandwich 1.4 MB.

Depends (1)

R >= 3.5.0

Imports (2)

miscTools plm

LinkingTo (0)

none

Suggests (2)

Ecdat systemfit

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

1indirect

Depends 2 · Imports 1

Suggested by 3

Depends, Imports or LinkingTo, most downloaded first

frontier micEconAids micEconCES

Suggests, most downloaded first

micEconSNQP micEconIndex micEconDistRay

How these are counted

Code & Tests

Datasets

People & History

People (1)

Arne Henningsen

Author, Maintainer since 0.1-3 (2005)

Listed in earlier versions (1)

Ott Toomet

no longer listed · 0.2-1 to 0.5-2

Releases (32)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.6-20Latest
record
2025-10-06 · current release · diff ↗ ·
removed 2 exports
.quadFuncCheckHomWeights, .quadFuncVarHom
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.6-18
record
2022-09-03 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.6-16
record
2021-01-06 · diff ↗
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
0.6-14
record
2017-03-17 · diff ↗ ·
removed 4 exports
priceIndex, quantityIndex, translogRayDeriv, translogRayEst

added 1 export
logDataSet
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16

Show 46 earlier eventsHide 46 earlier events

0.6-12
record
2014-04-22 · diff ↗
R
R 3.1.0 released · 2014-04-10
R
R 3.0.0 released · 2013-04-03
0.6-10
record
2012-06-02 · diff ↗ ·
removed 1 export
npregHom

added 2 exports
.quadFuncCheckHomWeights, .quadFuncVarHom
R
R 2.15.0 released · 2012-03-30
R
R 2.14.0 released · 2011-10-31
R
R 2.13.0 released · 2011-04-13
R
R 2.12.0 released · 2010-10-15
0.6-6
record
2010-08-12 · diff ↗
0.6-4
record
2010-05-25 · diff ↗
R
R 2.11.0 released · 2010-04-22
0.6-2
record
2010-03-15 · diff ↗ ·
removed 10 exports
cesEst, snqProfitCalc, snqProfitEla, snqProfitEst, snqProfitFixEla, snqProfitHessianDeriv, snqProfitHessian, snqProfitImposeConvexity, snqProfitShadowPrices, snqProfitWeights
0.6-0
record
2009-12-28 · diff ↗ ·
added 35 exports
cesEst, checkConsist, cobbDouglasCalc, cobbDouglasDeriv, cobbDouglasOpt, elas, elasticities, npregHom, priceIndex, quadFuncCalc, quadFuncDeriv, quadFuncEla, quadFuncEst, quantityIndex, snqProfitCalc, snqProfitEla, snqProfitEst, snqProfitFixEla, snqProfitHessianDeriv, snqProfitHessian, snqProfitImposeConvexity, snqProfitShadowPrices, snqProfitWeights, translogCalc, translogCheckCurvature, translogCheckMono, translogCostEst, translogDeriv, translogEla, translogEst and 5 more
R
R 2.10.0 released · 2009-10-26
0.5-22
record
2009-07-21 · diff ↗
0.5-18
record
2009-05-05 · diff ↗
R
R 2.9.0 released · 2009-04-17
0.5-14
record
2009-03-09 · diff ↗
0.5-12
record
2009-02-26 · diff ↗
0.5-10
record
2009-01-05 · diff ↗
R
R 2.8.0 released · 2008-10-20
0.5-6
record
2008-09-22 · diff ↗
0.5-4
record
2008-09-16 · diff ↗
0.5-2
record
2008-06-17 · diff ↗
R
R 2.7.0 released · 2008-04-22
0.5-1
record
2008-03-03 · diff ↗
0.4-0
record
2008-01-02 · diff ↗
0.3-9
record
2007-11-08 · diff ↗
R
R 2.6.0 released · 2007-10-03
0.3-8
record
2007-09-11 · diff ↗
0.3-7
record
2007-08-12 · diff ↗
0.3-3
record
2007-05-15 · diff ↗
0.3-2
record
2007-05-13 · diff ↗
R
R 2.5.0 released · 2007-04-24
R
R 2.4.0 released · 2006-10-03
0.2-4
record
2006-10-01 · diff ↗
0.2-3
record
2006-09-29 · diff ↗
R
R 2.3.0 released · 2006-04-24
0.2-2
record
2006-02-07 · diff ↗
0.2-1
record
2005-11-24 · diff ↗
R
R 2.2.0 released · 2005-10-06
0.1-7
record
2005-09-22 · diff ↗
0.1-6
record
2005-05-09 · diff ↗
R
R 2.1.0 released · 2005-04-18
0.1-3
record
2005-02-21
R
R 2.0.0 released · 2004-10-04

Package metadata

First published: 2005-02-21
Total releases: 32 / 21 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 42 KB / 5 files
Download size: 175 KB

Appears in task views

Econometrics

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("micEcon")

Format

Henningsen, A. (2025). micEcon: Microeconomic Analysis and Modelling (Version 0.6-20) [Computer software]. https://doi.org/10.32614/CRAN.package.micEcon

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for micEcon version 0.6-20 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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