ChoiceModelR

Choice Modeling in R

CRAN Package

Implements an MCMC algorithm to estimate a hierarchical multinomial logit model with a normal heterogeneity distribution. The algorithm uses a hybrid Gibbs Sampler with a random walk metropolis step for the MNL coefficients for each unit. Dependent variable may be discrete or continuous. Independent variables may be discrete or continuous with optional order constraints. Means of the distribution of heterogeneity can optionally be modeled as a linear function of unit characteristics variables.

  • Version1.3.1
  • R version≥ 3.5.0
  • LicenseGPL (≥ 3)
  • Needs compilation?No
  • Last release10/10/2024

Documentation


Team


Insights

Last 30 days

This package has been downloaded 619 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 57 times.

Sun
Mon
Tue
Wed
Thu
Fri
Sat
0 downloadsMar 2, 2025
12 downloadsMar 3, 2025
69 downloadsMar 4, 2025
17 downloadsMar 5, 2025
5 downloadsMar 6, 2025
8 downloadsMar 7, 2025
41 downloadsMar 8, 2025
5 downloadsMar 9, 2025
12 downloadsMar 10, 2025
14 downloadsMar 11, 2025
18 downloadsMar 12, 2025
48 downloadsMar 13, 2025
5 downloadsMar 14, 2025
15 downloadsMar 15, 2025
9 downloadsMar 16, 2025
30 downloadsMar 17, 2025
29 downloadsMar 18, 2025
13 downloadsMar 19, 2025
22 downloadsMar 20, 2025
13 downloadsMar 21, 2025
7 downloadsMar 22, 2025
9 downloadsMar 23, 2025
52 downloadsMar 24, 2025
4 downloadsMar 25, 2025
23 downloadsMar 26, 2025
9 downloadsMar 27, 2025
54 downloadsMar 28, 2025
8 downloadsMar 29, 2025
4 downloadsMar 30, 2025
7 downloadsMar 31, 2025
57 downloadsApr 1, 2025
0 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
4
69

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 6,262 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Feb 05, 2025 with 107 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Suggests5 packages