Package: pricesensitivitymeter 1.3.3

pricesensitivitymeter: Van Westendorp Price Sensitivity Meter Analysis

An implementation of the van Westendorp Price Sensitivity Meter in R, which is a survey-based approach to analyze consumer price preferences and sensitivity (van Westendorp 1976, isbn:9789283100386).

Authors:Max Alletsee [aut, cre]

pricesensitivitymeter_1.3.3.tar.gz
pricesensitivitymeter_1.3.3.zip(r-4.7-any)pricesensitivitymeter_1.3.3.zip(r-4.6-any)pricesensitivitymeter_1.3.3.zip(r-4.5-any)
pricesensitivitymeter_1.3.3.tgz(r-4.6-any)pricesensitivitymeter_1.3.3.tgz(r-4.5-any)
pricesensitivitymeter_1.3.3.tar.gz(r-4.7-any)pricesensitivitymeter_1.3.3.tar.gz(r-4.6-any)
pricesensitivitymeter_1.3.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pricesensitivitymeter/json (API)

# Install 'pricesensitivitymeter' in R:
install.packages('pricesensitivitymeter', repos = c('https://max-alletsee.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/max-alletsee/pricesensitivitymeter/issues

Pkgdown/docs site:https://max-alletsee.github.io

On CRAN:

Conda:

market-researchprice-sensitivitypricingsurveysurvey-analysis

5.94 score 16 stars 36 scripts 379 downloads 3 exports 27 dependencies

Last updated from:8188de1e95. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK145
source / vignettesOK210
linux-releaseOK141
macos-releaseOK205
macos-oldrelOK156
windows-develOK94
windows-releaseOK101
windows-oldrelOK99
wasm-releaseOK101

Exports:psm_analysispsm_analysis_weightedpsm_plot

Dependencies:clicpp11DBIfarverggplot2gluegtableisobandlabelinglatticelifecycleMatrixminqamitoolsnumDerivR6RColorBrewerRcppRcppArmadillorlangS7scalessurveysurvivalvctrsviridisLitewithr

Interpolation in Small Samples
Illustrating the Problem | Using the interpolate Argument
Rendered frominterpolation-in-small-samples.Rmdusingknitr::rmarkdown

Last update: 2025-08-22
Started: 2018-05-10

Visualizing PSM Results
Example Data | Using the Built-In Function | Using a Custom Approach | ggplot: Standard Price Sensitivity Meter Results Visualization | Base Plot: Standard Price Sensitivity Meter Results Visualization | ggplot: Optimal Reach and Revenue (based on Newton Miller Smith Extension) | Base Plot: Optimal Reach and Revenue (based on Newton Miller Smith Extension)
Rendered fromvisualizing-psm-results.Rmdusingknitr::rmarkdown

Last update: 2025-08-22
Started: 2018-04-11

Using Weighted Survey Data
Using Weighting to Correct for a Biased Sample | Identical Results When Weights Are Identical | Missing "too cheap" Data | Using Weighting in the Newton Miller Smith Extension
Rendered fromweighted-data.Rmdusingknitr::rmarkdown

Last update: 2025-08-22
Started: 2024-02-25