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diagmeta, version 0.5.1 (2022-12-21)

User-visible changes

• Change maintainer’s email address

Internal changes

• Rename list element ‘Cov.fixed’ to ‘Cov.common’

diagmeta, version 0.5.0 (2022-04-22)

Major changes

• Behaviour of print.diagmeta() and print.summary.diagmeta() switched (to be in line with other print and summary functions in R)

• Do not stop with an error if optimal cut-off cannot be determined for logistic distribution

• Calculate area under the curve for specificity given sensitivity

Bug fixes

• diagmeta():
  • fix for erratic confidence limits of AUC which could be outside the admissible range from 0 to 1 or exclude the AUC estimate

User-visible changes

• More concise printout for summary.diagmeta()

Internal changes

• diagmeta():
  • new list elements ‘AUCSens’ and ‘AUCSpec’ to calculate AUC for sensitivity given specificity or vice versa (existing list element ‘AUC’ is equal to ‘AUCSens’)
• New internal function catch() to catch value for an argument

diagmeta, version 0.4-1 (2021-05-11)

Bug fixes

• plot.diagmeta():
  • print correct confidence region for specificities in SROC curves
• diagstats():
  • print results for requested specificity if only argument ‘spec’ is provided

User-visible changes

• Use Markdown for NEWS

Internal changes

• diagmeta():
  • new list element ‘Cov.fixed’ with covariance matrix from fixed effects model

diagmeta, version 0.4-0 (2020-04-02)

Major changes

• New default model (argument ‘model’) in diagmeta(), i.e., common random intercept and common slope (“CICS”), due to estimation problems with the previous default (“DIDS”) after changes in R package lme4

Bug fixes

• plot.diagmeta():
  • correct line types for survival functions

User-visible changes

• diagmeta():
  • print a more informative error message in case of a negative correlation between increasing cutoffs and sensitivity
• plot.diagmeta():
  • argument ‘points’ considered for plots of type “regression”, “cdf”, “survival”, “Youden”, “ROC” and “sensspec”
• Help pages:
  • use the default model in all examples

diagmeta, version 0.3-1 (2019-04-11)

User-visible changes

• Export R functions:
  • as.data.frame.diagmeta(), plot.diagmeta(), print.diagmeta(), print.diagstats(), print.summary.diagmeta(), summary.diagmeta()
• plot.diagmeta():
  • argument ‘col.points’ can be any color defined in colours()
  • new argument ‘col.ci’ to specify color of curves with confidence limits

Internal changes

• diagmeta():
  • check for numerical values in arguments ‘TP’, ‘FP’, ‘TN’, ‘FN’, and ‘cutoff’

diagmeta, version 0.3-0 (2018-12-11)

User-visible changes

• plot.diagmeta(): new plot type to show sensitivity and specificity curves

• New arguments ‘sens’ and ‘spec’ in diagstats()

• print.summary.diagmeta():

  • print confidence interval for optimal cutoff (for normal distribution)

• New function as.data.frame.diagmeta()

Bug fixes

• plot.diagmeta():
  • correct ROC curves for datasets with decreasing cutoff values for individual studies (points (0, 0) and (1, 1) were connected with the wrong values on the ROC curve)

Internal changes

• diagmeta():
  • calculate and return lower and upper confidence limit for optimal cutoff (for normal distribution)

diagmeta, version 0.2-0 (2018-03-23)

First version released on CRAN

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.