pricesensitivitymeter, v1.2.2 (release date: 2021-10-19)

• psm_plot(): flexible color for Indifference Price Point and Optimal Price Point
• psm_plot(): enforcing digits for Indifference Price Point and Optimal Price Point labels
• change in DESCRIPTION to address a CRAN note (no need for lazy loading of data)

pricesensitivitymeter, v1.2.1 (release date: 2021-03-21)

• fixes URL in package description
• fixes date formatting in DESCRIPTION

pricesensitivitymeter, v1.2 (release date: 2021-03-21)

• new function psm_plot() for automatic plotting of the result
• package now also supports input in tibble format
• fix in plotting vignette: fix position of indifference price point
• fixes in vignette formatting to emphasize function names
• change of Github URLs due to change of Github username
• fix of external URLs that have changed
• housekeeping: re-factoring code

pricesensitivitymeter, v1.1.1 (release date: 2019-08-23)

• fixes a markdown issue in the README file

pricesensitivitymeter, v1.1.0 (release date: 2019-08-22)

• adds the parameter interpolation_steps that lets users define the granularity of the interpolation between the observed prices
• fixes a bug that caused respondents with intransitive price preferences to be used in the analysis when using psm_analysis_weighted() (and adds some unit testing to check this in the future)
• corrects the “Interpolation in Small Samples” vignette: now shows correctly “not cheap” instead of “cheap” and “not expensive” instead of “expensive”
• extends unit test coverage

pricesensitivitymeter, v1.0.1 (release date: 2019-04-29)

• makes some tests slightly more lenient to account for rounding differences

pricesensitivitymeter, v1.0.0 (release date: 2019-04-28)

• adds the psm_analysis_weighted() function to deal with weighted input data. This requires the survey package.
• adds the argument intersection_method to define how to calculate the price points in case there are multiple intersections (should be a rare case)
• amends the psm class definition and the summary function for the psm class to account for weighted/unweighted data
• bug fix: if a respondent has the same answer for both the “cheap” and the “expensive” price, the interpolation of purchase probabilities in the Newton Miller Smith extension now returns non-empty answers
• bug fix: if “too cheap” information is missing, skip some calculations

pricesensitivitymeter, v0.4.1 (release date: 2018-10-21)

• fixes issue with calculation of “point of marginal cheapness” and “point of marginal expensiveness” (acceptable price range). also affects documentation and visualization vignette. thanks to athib2 for flagging it
• fixes bug in calculation of % of removed cases (did show only 0/1 before, now proper percentages)
• fixes typos in summary() function and in the documentation
• adds unit testing for Newton Miller Smith input as dataframe

pricesensitivitymeter, v0.3.3 (release date: 2018-10-14)

• fixes an issue in the unit testing with an if condition with length greater 1 (thanks to Tomas Kalibera for automated testing in R-devel)

pricesensitivitymeter, v0.3.2 (release date: 2018-05-12)

• changing links from http://… to https://…

pricesensitivitymeter, v0.3.0 (release date: 2018-05-10)

• adding optional argument to interpolate between price points
• adding a vignette for the interpolate argument
• edits in the README: fixing typos, amending the installation instructions

pricesensitivitymeter, v0.2.1 (release date: 2018-04-12)

• addressing feedback from CRAN submit: adding proper citation of the main publication in the DESCRIPTION file

pricesensitivitymeter, v0.2 (release date: 2018-04-11)

• adding support for running the analysis without a “too cheap” price
• adding a charting vignette
• adding automated testing of function inputs and function outputs
• renaming the main function from “PSManalysis” to “psm_analysis” (for readability reasons)
• improving smoothing of trial/revenue optimization when using Newton Miller Smith extension: setting up the price matrix with continuous price steps between the minimum and the maximum to avoid jumps that come from the lack of price points in a specific area
• refining the data input checks (resulting from the c() implementation of hierarchies between data classes)

pricesensitivitymeter, v0.1 (release date: 2017-05-20)

• first complete Github version incl. function documentation