cNORM:news and change-log

This file documents the development of the package as well as open issues or points for further improvements.

Version in 1.0.1

Date: 2018.11.02

Changes:

• Minor improvements in the GUI: Waiting circle shown to indicate ongoing computation

Version in 1.0.0

Date: 2018.10.26

Changes:

• Final polishing finished; realising first major version

Version in 0.9.20

Date: 2018.10.24

Changes:

• GUI with Shiny finished
• … now working on finally releasing the package

Version in 0.9.19

Date: 2018.10.20

Changes:

• API changed: predictNormValue renamed to predictNorm
• Shiny GUI enhanced
• Additional plotting options in plotNorm and plotRaw
• less strict warning messages in predictNormValue function and checkConsistency

Version in 0.9.18

Date: 2018.10.08

Changes:

• First shiny prototype (many thanks to Sebastian Gary); please use cNORM.GUI() to start user interface

Version in 0.9.17

Date: 2018.10.01

Changes:

• predictNormValue fixed and optimized (many thanks to Sebastian Gary)
• API change with respect to predictNormValue, rawTable and plotNorm
• plotNorm: norm score boundaries guessed by min and max score from modelling

Version in 0.9.16

Date: 2018.09.21

Changes:

• bug in predictNormValue partly fixed (further optimization necessary)
• API change: plotValues renamed to plotRaw
• new function: plotNorm

Version in 0.9.15

Date: 2018.09.18

Changes:

• plotDensity function added
• attributes added to data.frame to increase usability

Version in 0.9.13

Date: 2018.09.16

Changes:

• predictNormValue with higher precision and effectivity
• rawTableQuick removed from source code

Version in 0.9.12

Date: 2018.09.11

Changes:

• ‘simulateRasch’ to simulate test data was added
• old sim functions removed
• documentation improved
• new parameters to bestModel in order to force covariates into regression
• additional checks in box cox functions

Version in 0.9.9

Date: 2018.09.06

Changes:

• Enhancements to the ‘prepareData’ function

Version in 0.9.8

Date: 2018.09.05

Changes:

• Life expectancy dataset of the World Bank added
• Mortality of infants per 1000 life birth from 1960 to 2017 added
• Minor chanes in functions to check data integrity and exceptions
• Vignette updated

Version in 0.9.7

Date: 2018.08.31

Changes:

• License changed to AGPL
• Capitalizations in labels of plots
• min and max renamed to minRaw and maxRaw (where appropriate)
• terminology: standard or normal score instead of norm; score instead of value
• new function for model validation: plotPercentileSeries
• many functions now draw the default values from the model (plotting and predicting)

Version in 0.9.6

Date: 2018.08.28

Changes:

• Minor improvements in function descriptions
• API of plotSubset changed due to new plotting options

Version in 0.9.5

Date: 2018.08.25

Changes:

• New, large dataset for BMI centile estimation from CDC included, type ?CDC for explanation
• Extensive documentation available via https://www.psychometrica.de/cNorm_en.html (in progress)

Version in 0.9.4

Date: 2018.08.23

Changes:

• Generating group variable in rankBySlidingWindow
• prarameters in plotPercentile to restrict age range
• ppvt dataset restricted

Version in 0.9.3

Date: 2018.08.20

Changes:

• plotNormCurves enhanced (Thanks to Sebastian Gary)
• new function to plot semi parametric analyses via box cox power transformation: plotBoxCox
• variable “explanatoryVariable” and “normVariable” in computePowers function renamed for easier API

Version in 0.9.2

Date: 2018.08.18

Changes:

• Addeditional dataset: vocabulary development (PPVT4)

Version in 0.9.1

Date: 2018.08.16

Changes:

• Added predictRawBC and predictNormBC for computing norm and raw values based on the parametric box cox power function parameters
• New contributor: Sebastian Gary, welcome to the team!
• Missing raw variable definition in plotValues corrected

Version in 0.9.0

Date: 2018.08.14

Changes:

• Box Cox power transformation for regression model at specific age: optional parametric modelling for non-paramteric regression model

Version in 0.8.9

Date: 2018.08.13

Changes:

• Convenience method for selection best model added: ‘printSubset’
• predictNormValue now accepts lists of values as well

Version in 0.8.8

Date: 2018.08.12

Changes:

• parameter checks added
• new parameter ‘descriptives’ addad to rankByGroup and rankBySlidingWindow added to retrieve descriptive statistics for each observation
• improvements in the documentation
• errors in bestModel and plotPercentiles corrected, when variable names are not as in example sample

Version in 0.8.6

Date: 2018.08.11

Changes:

• new function: ‘rankBySlidingWindow’ which can be used for data sets with continuous age variables
• error corrected for data being loaded from SPSS files
• improvements in the documentation

Version in 0.8.5

Date: 2018.08.06

Changes:

• new function for simulating data

Version in 0.8.3

Date: 2018.08.03

Changes:

• Code cleaning and formatting

Version in 0.8.2

Date: 2018.08.02

Changes:

• new internal function: rawTableQuick for speeding up generating norm tables Still has to be checked for working with descending values. Works only, if model assumptions are valid

Version in 0.8.0

Date: 2018.08.01

Changes:

• new function: rawTable allows creating norm tables with assignment of raw -> norm values solves inverse function of regression model with brute force

Version in 0.7.11

Date: 2018.07.31

Changes:

• improved ‘prepareData’ function

Version in 0.7.10

Date: 2018.07.28

Changes:

• Description for computePowers improved
• option in plotPercentile to use percentile scale or self defined c(mean, sd)

Version in 0.7.9

Date: 2018.07.28

Changes:

• ‘descend’ parameter added to consistencyCheck and normTable
• dependency rColorBrewer removed; plotPercentiles changed accordingly
• latticeExtra moved to ‘suggests’

Version in 0.7.8

Date: 2018.07.27

Changes:

• ‘descend’ parameter added to consistencyCheck and normTable

Version in 0.7.7

Date: 2018.07.27

Changes:

• Small changes to error messages in bestModel
• printing of min value in plotDerivate removed

Version in 0.7.6

Date: 2018.07.27

Changes:

• parameter ‘predictors’ added to allow self defined regression functions, e. g. for the inclusion of other ranking parameters like sex
• ‘type’ parameter added to ‘plotPercentile’ to allow selection of quantile algorithm. Please consult help(quantile) for further information on ‘type’

Version in 0.7.5

Date: 2018.07.26

Changes:

• dependency dplyr removed: rankByOrder and plotPercentiles rewritten
• API-change: derivationPlot renamed to plotDerivate
• small changes to vignette and readme
• parameter “raw” added to rankByGroup to specify raw value variable
• rawVar and groupVar in plotPercentiles renamed to raw and group to make API more coherent

Version in 0.7.4

Date: 2018.07.25

Changes:

• rankByOrder: ranking in descending order added

Version in 0.7.3

Date: 2018.07.25

Changes:

• Additional ranking algorithms: Filliben, Levenbach, Yu & Huang; API changed to index
• scale can be specified as double vector with c(mean, sd)
• vignette updated accordingly

Version in 0.7.2

Date: 2018.07.24

Changes:

• None. This is the first release