Skip to contents

Changelog

Source: NEWS.md

difNLR 1.5.3 (2026-01-08)

Major updates

difNLR 1.5.2-1-2 (2025-11-19)

THIS IS A CRAN VERSION

Minor updates

  • Tests skipped on CRAN.

difNLR 1.5.2 (2025-11-18)

Major updates

  • match argument of the difNLR(), difORD(), and ddfMLR() now handles a numeric matrix where each column represents the matching criterion for each item of Data.
  • match argument of the difNLR(), difORD(), and ddfMLR() now can take also values of "restscore" and "zrestscore" representing total score without item being currently tested and its standardized version, respectively.
  • Argument constraints is now used in the startNLR() function when computing starting values for the difNLR() function.

Minor updates

  • Tests extended and updated.
  • Checking inputs of the difNLR(), difORD(), and ddfMLR() functions was updated.
  • Documentation of the difNLR(), difORD(), and ddfMLR() functions was updated; specifically for match, anchor, and purify arguments. New output match.name describing name of the matching criterion for plotting was added.

difNLR 1.5.1-4 (2025-06-30)

CRAN release: 2025-06-30

THIS IS A CRAN VERSION

It includes versions 1.5.1-2 - 1.5.1-4

Bug fixes

  • Minor bug in the plot() S3 method for the ddfMLR() was fixed. Categories are now correctly ordered for lines and points.

Minor updates

  • Tests extended and updated.
  • Checking inputs of the difNLR() and difORD() functions was updated.
  • genNLR() now handles parameters for dichotomous items as matrices with a single column.
  • Legend of plots moved back inside of the plots.

difNLR 1.5.1-3 (2025-06-08)

Bug fixes

  • Typos in equations of generalized logistic model in the difNLR function were fixed.
  • Parametrization for the parameters “c” and “d” in the predict.difNLR was fixed, fixing also issues in the plot.difNLR.
  • Bug in degrees of freedom in the df output of the difNLR() function was fixed. Degrees of freedom are now correctly returned for the LR and Wald tests.
  • When purify = TRUE or anchor argument is used, matching criterion is now correctly computed in the plot() and predict() S3 methods for the difNLR() function.
  • Bug in the fitted() S3 method for the difNLR was fixed.

Minor updates

difNLR 1.5.1-2 (2025-03-05)

Bug fixes

  • Bug in NLR() when method = "irls" fixed. Parameters are now labelled as b0-b3 and estimates are correctly printed with the coef.difNLR() S3 method.
  • Bug in coef.difNLR() S3 method fixed when only one parameter is estimated. Thanks to Jan Netik.
  • Bug in coef.difNLR() S3 method fixed when multiple items did not converged.
  • Bug in difNLR() handling items that failed to converge and their estimates.

Minor updates

  • Tests updated.

difNLR 1.5.1-1 (2025-03-03)

CRAN release: 2025-03-03

THIS IS A CRAN VERSION

It includes versions 1.5.0-1 - 1.5.0-2

difNLR 1.5.0-2 (2025-02-27)

Bug fixes

  • Bug in formulaNLR() when type = "b" fixed.
  • Bug in estimNLR() when method = "plf" fixed.
  • Bug in NLR() calculating SEs when no item is converged fixed.

Major updates

  • Testing with the testthat package has been started.

Minor updates

  • References updated.

difNLR 1.5.0-1 (2025-02-17)

Bug fixes

  • Bug in re-calculation of starting values in the NLR() function was fixed.
  • Bugs in coef.difNLR() when convergence issues are present were fixed. Thanks to Jan Netik.

Minor updates

  • Warnings and messages in the NLR() and difNLR() functions were updated.
  • Documentation of the coef.difNLR() was updated.
  • Some typos were fixed.
  • README file was updated.
  • Description of the package was updated.

difNLR 1.5.0 (2024-12-14)

CRAN release: 2024-12-19

THIS IS A CRAN VERSION

Bug fixes

  • Bug caused by mixing two parametrization in predict.difNLR() was fixed.
  • Bug in calculation of starting values with startNLR() was fixed.

Major updates

  • Options "em" and "plf" were added for the method argument in the estimNLR() function to estimate item parameters with either the EM algorithm or algorithm based on parametric link function (PLF). “plf” is now default option. This is also the default option for the NLR() function.
  • Options for the parameterization argument of the formulaNLR() and startNLR() function were updated (renamed).
  • Intercept-slope parameterization is now used for model fitting, so slots of fitted objects like parM0 are returned with this parameterization.
  • Argument constraints were added into the startNLR() function.

Minor updates

  • References were updated.

difNLR 1.4.3 (2023-05-03)

Major updates

  • "likelihood" option for maximum likelihood estimation in the estimNLR() function was renamed to "mle".
  • S3 methods for the estimNLR() function were extended and improved.

difNLR 1.4.2-1 (2023-05-03)

CRAN release: 2023-05-03

THIS IS A CRAN VERSION

Minor updates

  • CITATION file was updated.

difNLR 1.4.2 (2023-05-02)

Bug fixes

Minor updates

  • startNLR now handles missing values. Returns error when not enough complete observations are provided.
  • Arguments in ggplot2 plotting methods were updated to follow changes in the ggplot2 package.
  • Linetype and its legend appearance in ggplot2 plotting methods were updated.
  • ggplot2 v.3.4.0 is now imported.
  • Examples for the difORD() and ORD() functions were updated. Now using the Anxiety dataset from the ShinyItemAnalysis package.

difNLR 1.4.1 (2022-04-18)

CRAN release: 2022-04-18

Minor updates

  • Some typos fixed.
  • class handling was updated.

difNLR 1.4.0 (2022-04-16)

It includes versions 1.3.7-1 - 1.3.7-3

difNLR 1.3.7-3 (2022-02-11)

Bug fixes

  • Option parameterization = "logistic" was fixed in formulaNLR() function.

Major updates

Minor updates

  • Some typos fixed.
  • Examples in functions were updated.
  • References were updated.
  • Output of estimNLR() function is now unified via print() method.
  • Packages CTT, grDevices, methods are no longer imported.

difNLR 1.3.7-2 (2021-10-05)

Major updates

  • First version of predicted.difORD() to compute predicted values for difORD object was implemented.

difNLR 1.3.7-1 (2021-02-16)

Bug fixes

difNLR 1.3.6/1.3.7 (2021-01-07)

THIS IS A CRAN VERSION

Minor updates

  • doi in DESCRIPTION file updated.
  • doi in help pages were updated.
  • CITATION file updated.
  • References were updated.

difNLR 1.3.5-2 (2020-11-24)

Bug fixes

  • Empty factor levels were removed from Data in ddfMLR() to fix bug when plotting.

difNLR 1.3.5-1 (2020-09-03)

Major updates

  • Sandwich estimator for covariance matrix in case that method = "nls" was implemented into the vcov() method for the output of the estimNLR() function.
  • Wald test for implemented for the difNLR() function.
  • Sandwich estimator for covariance matrix in case that method = "nls" was implemented into the difNLR() function via an argument sandwich = TRUE.

difNLR 1.3.4/1.3.5 (2020-08-24)

THIS IS A CRAN VERSION

Bug fixes

  • Error when covariance matrix cannot be computed for some items in difNLR() function was fixed.
DOCUMENTATION
  • URLs for GH were updated.

difNLR 1.3.3 (2020-04-29)

CRAN release: 2020-05-04

THIS IS A CRAN VERSION

Bug fixes

  • Bug in calculation of standard errors for estimates of difNLR() was fixed.
  • Bug in coefficients of difNLR() for non-converged items including naming of parameters was fixed (Reported by Jan Netik).
  • In case that covariance matrix cannot be computed in NLR(), function gives warning and NA values for covariance matrix and vector of standard errors are returned.

Major updates

  • Confidence intervals were added into predict.difNLR() method.
  • Delta method for alternative parametrization is now applied for whole covariance matrix in difNLR().
  • Unnecessary arguments of plot.difNLR(), plot.difORD() and plot.ddfMLR() were removed. Change of colours/linetypes/shapes/title can be managed using standard ggplot2 syntax.
  • plot.difNLR() now offers possibility to turn off drawing of empirical probabilities using argument draw.empirical = FALSE.
  • plot.difNLR() now offers possibility to plot confidence intervals for predicted values as offered in predict.difNLR() using argument draw.CI = TRUE.
  • Starting values calculated via startNLR() were improved for score as matching criterion using argument match.
DOCUMENTATION
  • Documentation of the package was updated.
  • Some typos were fixed.
  • Documentation of main functions was updated:
    • S3 methods are now referenced in See Also sections.
    • S3 methods are now documented in seperate files.
  • CITATION file was updated.
  • Formatting was improved.

Minor updates

difNLR 1.3.2 (2020-01-28)

CRAN release: 2020-01-28

THIS IS A CRAN VERSION

Bug fixes

difNLR 1.3.1 (2020-01-27)

CRAN release: 2020-01-27

THIS IS A CRAN VERSION

It includes versions 1.3.0-1 - 1.3.0-6 and following changes:

Bug fixes

  • Method plot.difNLR() now correctly uses matching criterion when item purification is applied.
DOCUMENTATION
  • Documentation of the package was updated.
  • Some typos were fixed.

Minor updates

  • NEWS file is now generated using markdown.
  • README file was updated.

difNLR 1.3.0-6 (2020-01-22)

Bug fixes

  • Mismatch in null and alternative models was fixed for all functions.
  • MLR() function now returns correct value of log-likelihood for alternative model.

Major updates

  • Default option of argument type in NLR() function was set to "all" instead of "both".
  • Input Data in difNLR() function can be also a vector now.

difNLR 1.3.0-5 (2020-01-20)

Bug fixes

  • Function MLR() was fixed for binary data and IRT parametrization.
  • Typo fixed in print.difORD() method.
  • Method plot.ddfMLR() was fixed for binary data.

difNLR 1.3.0-4 (2020-01-17)

Major updates

  • Function ddfORD() was renamed to difORD().

Minor updates

  • Function genNLR() with an option itemtype = "nominal" returns nominal items as factors with levels presented by capital letters.
  • Legend for plot.ddfMLR() was updated to show P(Y = option) instead of option alone.
  • README file updated.
  • Typos fixed.

difNLR 1.3.0-3 (2020-01-07)

DOCUMENTATION
  • Documentation was updated.
  • Authors’ details were updated.

Major updates

  • Seed was added for re-calculation of bootstrapped initial values in NLR() estimation.

Minor updates

  • Argument item for S3 methods of difNLR class can be now name of the column in Data.
  • Legends in plot.ddfMLR() and plot.ddfORD() were updated.
  • Some typos were fixed.

difNLR 1.3.0-2 (2020-01-03)

Major updates

  • Default option of argument type in difNLR() function was set to "all" instead of "both".

Minor updates

  • Package styler was used to improve formatting of the code.
  • Package ShinyItemAnalysis was added into Suggests.
  • Figures for README were updated.
DOCUMENTATION
  • Documentation for all data was updated. Format of data was fixed.
  • Documentation of estimNLR() was improved.

difNLR 1.3.0-1 (2019-12-16)

Bug fixes

  • Legend in plot.ddfORD() is now correctly displayed.

difNLR 1.3.0 (2019-08-19)

CRAN release: 2019-08-20

THIS IS A CRAN VERSION

It includes versions 1.2.3 - 1.2.8-4 and following changes:

Minor updates

  • Some typos fixed in print.difNLR()
  • Authors’ details were updated.
  • CITATION file was updated.

difNLR 1.2.8-4 (2019-08-09)

Minor updates

  • Typos fixed in print.ddfORD() and print.ddfMLR().
  • Matching criterion for plot.ddfORD() uses anchor items.

difNLR 1.2.8-3 (2019-08-08)

Bug fixes

  • plot.ddfORD() now works when Data is factor.

Minor updates

  • genNLR() now generates ordinal data using adjacent category logit model with argument itemtype = "ordinal".

difNLR 1.2.8-2 (2019-08-07)

Bug fixes

  • plot.ddfORD() now works when items have different scales.
  • Argument anchor is now used for calculation of matching criterion in function ORD().
  • IRT parametrization was fixed for ddfORD().
  • logLik.ddfMLR() now works properly.
  • anchor items are now used for calculation of matching criterion in plot.ddfORD() and plot.ddfMLR().

Major updates

  • Names of reference and focal group in plot.difNLR() can be changed with group.name argument.

Minor updates

difNLR 1.2.8-1 (2019-08-06)

Minor updates

  • IRT parametrization now available in ddfMLR() function with argument parametrization. SE calculated with delta method.
  • Names of reference and focal group in plot.ddfMLR() can be changed with group.name argument.

difNLR 1.2.8 (2019-08-05)

Major updates

  • ddfORD() function was renamed. Now ddfORD().
  • IRT parametrization now available in ddfORD() function with argument parametrization. SE calculated with delta method.
  • Names of reference and focal group in plot.ddfORD() can be changed with group.name argument.

Minor updates

  • Help page for ddfORD() was updated.
  • Reference for ddfORD() was added.

difNLR 1.2.7 (2019-07-04)

Bug fixes

  • Check for input item in S3 methods for difNLR(), ddfMLR(), and ddfORD() was fixed.
MAJOR UDPATES

Minor updates

  • Help pages were updated.
  • README file was updated.

difNLR 1.2.6 (2019-07-03)

MAJOR UDPATES
  • S3 method plot() for ddfORD() was implemented.

difNLR 1.2.5 (2019-07-02)

Major updates

  • S3 methods AIC(), BIC(), logLik(), coef() for ddfORD() were implemented.
  • S3 methods AIC(), BIC(), logLik(), residuals() for difNLR() and ddfMLR() objects now handle column names as item argument.
  • S3 method coef() for difNLR and ddfMLR objects were updated. Their now includes arguments SE (logical) to print standard errors and simplify (logical) whether list of estimates should be simplified into a matrix.

Minor updates

  • CITATION was updated.
  • All static DOI links were updated.

difNLR 1.2.4 (2019-07-02)

Major updates

  • New functions ddfORD() and ORD() for DDF detection for ordinal data with adjacent and cumulative logistic regression models were added. Output is displayed via S3 method print.ddfORD()

Minor updates

  • Authors’ details were updated.
  • Some typos were fixed.
  • Helps for ddfMLR(), MLR(), and difNLR() were updated.

difNLR 1.2.3 (2019-06-20)

Bug fixes

  • plot.ddfMLR() now handles also binary data.
  • ddfMLR() returns consistently "No DDF item detected" when no DDF item was detected.

Major updates

  • Matching criterion for plot.ddfMLR() was improved for displaying more smooth curves.

Minor updates

  • Authors’ details were updated.

difNLR 1.2.2 (2018-05-03)

CRAN release: 2018-05-04

THIS IS A CRAN VERSION

It includes versions 1.2.1-1 - 1.2.1-3

difNLR 1.2.1-3 (2018-04-26)

Minor updates

difNLR 1.2.1-2 (2018-03-19)

Bug fixes

  • difNLR()
    • Check for constraints was fixed.
  • NLR()
    • initboot = FALSE now works properly.

difNLR 1.2.1-1 (2018-03-16)

Bug fixes

  • difNLR():
    • P-value adjustment is now performed in the last iteration of purification as described.
    • In difPur output columns are properly named.
  • ddfMLR():
    • P-value adjustment is now performed in the last iteration of purification as described.
    • In difPur output columns are properly named.

Minor updates

  • Warning messages do not include the call.

difNLR 1.2.1 (2018-03-01)

CRAN release: 2018-03-05

THIS IS A CRAN VERSION

It includes versions 1.2.0-1 - 1.2.0-7

difNLR 1.2.0-7 (2018-02-27)

Major updates

  • Argument start in difNLR() function is now item-specific. The input is correctly checked.
  • In case that some items do not converge, starting values are recalculated from bootstrapped sample and problematic models are fitted again. This is done 20 times at most. The options were added into difNLR() and NLR() functions.
  • Argument constraints in difNLR() function is now item-specific.

Minor updates

  • Minor typos were fixed in print() method for difNLR class.
  • Title was shorten.
  • Description of package was updated.
  • Description file was updated, reference was added.
  • README file was updated.
  • CITATION file was updated.

difNLR 1.2.0-6 (2018-02-26)

Major updates

Bug fixes

  • S3 methods for class difNLR can now properly handle items with convergence issues.
  • NLR() now detects DIF correctly with F test.

Minor updates

  • Typos were fixed.

difNLR 1.2.0-5 (2018-02-20)

Major updates

Bug fixes

  • Checking inputs in difNLR was fixed and improved.
  • Fixing degrees of freedom and p-values calculations in NLR().
  • Fixing parameters, SE and covariances calculations in NLR().
  • S3 methods for difNLR class can now handle convergence issues.

Minor updates

  • Documentation of difNLR-package was updated.
  • Syntax in plot() and residuals() for difNLR was slightly improved.
  • logLik() for difNLR now returns list of logLik class values.

difNLR 1.2.0-4 (2018-02-19)

Major updates

  • Function startNLR() now handles item-specific arguments (model and parameterization). Its output is now in the form of list. It can be simplified with argument simplify into table when all parameterizations are the same.
  • Function NLR() now handles item-specific arguments (model, type and constraints).
  • Function difNLR() now handles item-specific arguments (model, type and constraints).

Minor updates

  • README file was updated.

difNLR 1.2.0-3 (2018-02-19)

Bug fixes

  • Starting values in input of estimNLR() in NLR() are now properly named.
  • Bug in alternative parameterization for testing differences in parameters c and d in function formulaNLR() was fixed.

Minor updates

difNLR 1.2.0-2 (2018-02-15)

Major updates

  • Function genNLR() can now also generate nominal data based on model specified in ddfMLR().
  • Argument parameters in genNLR() is no longer applicable.
  • Arguments a, b, c, d were added into genNLR() as parameters - discrimination, difficulty, guessing, inattention
  • Function genNLR() can now also generate different underlying distributions for reference and focal group with arguments mu and sigma.

Minor updates

  • Email address of maintainer was changed.

difNLR 1.2.0-1 (2018-02-14)

Major updates

  • New function estimNLR() to estimate parameters of NLR models was added. This function uses non-linear least squares or maximum likelihood method.
  • Function NLR() now uses estimNLR() for estimation of models parameters.
  • Function difNLR() can now estimate models parameters with also maximum likelihood method.
  • Iteratively reweighted least squares (IRLS) method was added into estimNLR() function. This option is not fully functional.

Bug fixes

  • Bug in plot() for ddfMLR class in matching criterion was fixed.
  • Bug in NLR() was fixed. User-specified starting values are now available.
  • Bug in startNLR() was fixed. Function runs even if there are not unique cuts for total scores/match.
  • Bug in log-likelihood calculation in estimNLR() was fixed.

Minor updates

  • Some preparation for new estimation methods for F test in NLR() was done.
  • Convergence failure warning is now item specific.
  • Warning and error messages were improved.

difNLR 1.1.3 (2018-02-06)

Bug fixes

  • Bug in delta method in NLR() function was fixed.
  • Bug in match argument in difNLR() function was fixed.
  • Bug in one dimensional Data in difNLR() function was fixed.

Major updates

  • Specification of upper and lower asymptotes in startNLR() function was improved.
  • Functions ddfMLR() and MLR() can now handle also total score or other user-specified matching criterion.
  • S3 functions plot() for class ddfMLR can also handle total score or other user-specified matching criterion.

Minor updates

  • New auxiliary function checkInterval() was added.
  • Size of labs and title was unified in graphical outputs of functions difNLR() and ddfMLR().

difNLR 1.1.2 (2017-12-12)

Major updates

  • CITATION file was added with reference to relevant paper.
  • Bug when loading group by group identificator was fixed.
  • Condition to check dimension of complete cases data was added.
  • Function residuals.difNLR() was added.
  • S3 functions AIC() and BIC() for difNLR class were updated.
  • S3 functions plot(), fitted() and predict() for difNLR class can now handle also other matching criteria than zscore.

Minor updates

  • Reference lists were updated.
  • README file was updated.

difNLR 1.1.1 (2017-08-28)

CRAN release: 2017-08-29

THIS IS A CRAN VERSION

Major updates

  • Bug in startNLR() function for missing values was fixed.

Minor updates

  • Graphical representation for difNLR() and ddfMLR() functions was mildly updated and unified.

difNLR 1.1.0 (2017-08-21)

CRAN release: 2017-08-22

THIS IS A CRAN VERSION

Minor updates

  • Bug in plot.difNLR() was fixed.
  • README file was updated.
  • Package documentation was updated.
  • Default value for constraints arguments in NLR() and formulaNLR() functions were set to NULL.
  • Default starting values were added into NLR() function by startNLR() function.

difNLR 1.0.8 (2017-08-14)

Bug fixes

  • Several bugs were fixed:
    • difNLR() function can handle Data with one column.
    • startNLR() now works when match argument is set.
    • Check input condition was fixed in formulaNLR() function.
    • Delta method in NLR() function.

Minor updates

difNLR 1.0.7 (2017-08-10)

Major updates

  • Item purification was implemented into ddfMLR() function.
  • Anchor items were implemented into ddfMLR() function.
  • Anchor items were implemented into MLR() function.

Minor updates

difNLR 1.0.6 (2017-08-09)

Major updates

  • Item purification was implemented into difNLR() function.
  • Anchor items were implemented into difNLR() function.
  • Anchor items were implemented into NLR() function.

Minor updates

  • README file was updated.

difNLR 1.0.5 (2017-08-09)

Major updates

  • Datasets difMedical, difMedicaltest, and difMedicalkey were renamed. Now they are MSATB, MSATBtest, and MSATBkey. from Medical School Admission Test in Biology.

Minor updates

  • LazyData is now available.
  • References were updated.
  • README file updated.

difNLR 1.0.4 (2017-08-08)

Major updates

  • New function formulaNLR() was implemented. Function returns formula for NLR model for 11 predefined models and 4 predefined DIF types to test. Model and DIF type can be also specified with constraints on parameters a, b, c and d.
  • Function NLR() now handles 11 predefined models and 4 predefined DIF types to test. Model and DIF type can be also specified with constraints on parameters a, b, c and d.
  • Function startNLR() was edited to return starting parameters with different parameterization. It was also mildly changed to correspond to new version of NLR() function.
  • Function difNLR() can now handle also total score or other user-specified matching score.
  • Function constrNLR() is no longer part of the difNLR package.

Minor updates

  • References were updated.
  • Some minor bugs were fixed:
    • Items are no longer renamed by difNLR() and ddfMLR() functions.
    • Starting values are now correctly checked in difNLR() function.
  • msm package is now used for delta method in difNLR() function.

difNLR 1.0.3 (2017-06-15)

CRAN release: 2017-06-16

THIS IS A CRAN VERSION

Major updates

  • Bug of plot.ddfMLR() for non-uniform DDF was fixed.
  • References were updated.

difNLR 1.0.2 (2017-06-06)

CRAN release: 2017-06-06

THIS IS A CRAN VERSION

Major updates

  • Bug of dimensions for parameter estimates of difNLR() function was fixed.
  • Datasets GMAT and GMATtest were extended by criterion variable which is intended to be predicted by test.
  • coef, logLik, AIC and BIC S3 methods were added for class ddfMLR.

Minor updates

  • Functions plot.ddfMLR() and plot.difNLR() were slightly improved.
  • Updated error and warning handling in difNLR() and ddfMLR() functions.
  • Description file was updated.
  • Item names are now the same as in original data set.
  • README file updated.

difNLR 1.0.0 (2017-01-10)

CRAN release: 2017-01-24

THIS IS A CRAN VERSION

Major updates

  • New function ddfMLR() to detect Differential Distractor Functioning (DDF) with Multinomial Log-linear Regression (MLR) model. S3 methods for class ddfMLR also added - print and plot.
  • New function MLR() to calculate likelihood ratio statistic for detecting DDF with MLR model.
  • The difNLR() function can handle 6 generalized logistic regression models with option model.
  • Functions startNLR(), genNLR() and S3 methods for class difNLR were changed according difNLR() function. S3 method coef was created.
  • New functions NLR() and constrNLR() can now calculates DIF detection statistics and specify constraints for generalized logistic regression model.
  • Function difNLR() was edited to response to difR package and its DIF detection functions.
  • Function genNLR() was changed to generate dataset from generalized logistic regression model with 8 parameters.

Minor updates

  • The CITATION file was updated.
  • Several typos were fixed.
  • Some default options of input were changed.
  • AIC(), BIC(), and logLik() S3 methods added to difNLR().

difNLR 0.2.0 (2016-11-09)

CRAN release: 2016-11-09

THIS IS A CRAN VERSION

Major updates

  • S3 method plot for class difNLR was updated.
  • New option of test in difNLR() function was added. Possible choices are now F for F-test and LR for likelihood ratio test.
  • Choice of significant level alpha was added into difNLR() function with default option 0.05.
  • Six new data sets were added - scored GMAT data, its unscored version GMATtest and its key GMATkey. Scored difMedical data set, its unscored version difMedicaltest and key difMedicalkey.
  • New function genNLR() was added to generate scored (binary) data with model by difNLR.

Minor updates

  • Several typos were fixed.