- R functions lfkindex() and doiplot() can be used in meta-analyses with missing treatment effect or standard error
- Do not print the start-up message concerning older version of R package metasens for readers of 'Meta-Analysis with R (Use R!)'
- copas(), lfkindex(), limitmeta(), orbbound:
- check for three-level meta-analysis
- For Copas selection model, show value of between-study variance and standard deviation in printouts
- Arguments 'lfkindex' and 'xlim' were ignored in doiplot()
- doiplot():
- print more informative label on horizontal axis for meta-analysis objects
-
lfkindex():
- new list element 'x' with meta-analysis object used as input
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New branch 'release' on GitHub starting with metasens, version 1.5-2
- Change maintainer's email address
- Remove 'meta:::' call
- Use term 'common effect model' instead of 'fixed effect model' in the documentation and argument 'common' instead of 'fixed' to (not) show results for common effect model
- Calculation of adjusted standard error in limitmeta() for adjustment
method beta0 (default):
- use random effects instead of fixed effect weights
- consider covariance between alpha and beta
- plot.copas():
- new argument 'main' replacing deprecated argument 'caption'
-
Behaviour of print and print.summary functions switched (to be in line with other print and print.summary functions in R)
-
Renamed arguments:
- 'fixed' (instead of 'comb.fixed')
- 'random' (instead of 'comb.random')
- 'level.ma' (instead of 'level.comb')
-
In metamiss(), an infinite IMOR value is set to 1e10 instead of 9999
- metamiss():
- arguments 'IMOR.e' and 'IMOR.c' can be specified for each individual study
-
New functions doiplot() and lfkindex() implementing the Doi plot for asymmetry and the LFK index to test for asymmetry (Furuya-Kanamori et al., 2018)
-
Confidence interval of limit meta-analysis estimate can be shown in funnel plot
- funnel.limitmeta():
- new argument 'show.ci.adjust' to show confidence interval of adjusted estimate as a diamond
- Calculation of adjusted treatment estimate for Copas model in R function copas() instead of summary.copas()
-
copas():
- new argument 'level.comb' to calculate confidence interval for pooled estimates
- new arguments 'title', 'complab' and 'outclab' to print information on systematic review / meta-analysis
-
summary.copas() and plot.copas():
- arguments 'sign.rsb' and 'level' removed
-
print.copas():
- argument 'sign.rsb' removed
-
print.limitmeta(), print.orbbound(), print.summary.limitmeta():
- argument 'digits.zval' renamed to 'digits.stat'
- copas():
- new list elements (with information for adjusted overall effect): 'TE.adjust', 'seTE.adjust', 'lower.adjust', 'upper.adjust', 'statistic.adjust' and 'pval.adjust'
- Use Markdown for NEWS
- Call funnel.meta() instead of funnel.default() which will be removed from R package meta, version 4.13-0
-
New function metamiss() implementing imputation methods for missing binary data (Gamble & Hollis, 2005; Higgins et al., 2008)
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Use roxygen2 for development of R package metasens
-
Dataset 'nsaids' renamed to 'Moore1998'
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Version of R package meta must be larger or equal 4.9-0
-
For limit meta-analysis, R_b measure of between-study heterogeneity added (Crippa et al., 2016)
-
P-values can be printed in scientific notation
-
P-values equal to 0 are actually printed as "0" instead of "< 0.0001"
-
Thousands separator can be used in printouts and forest plots for large numbers
- print.summary.limitmeta():
- new argument print.Rb to specify if heterogeneity measure should be shown in output
- Code customisations due to changes in R package meta, version 4.9-0
- plot.copas():
- default label on x-axis in two bottom plots should read '... largest se' instead of '... largest sd'
-
Version of R package meta must be larger or equal 4.0-0
-
Checks implemented which are available in R package meta
-
copas():
- new argument 'sign.rsb' (which has been available in function summary.copas since version 0.6-3 of R package copas)
-
plot.copas(), print.copas(), and summary.copas():
- consider default value for argument 'sign.rsb' from copas object
-
limitmeta():
- argument 'sm' removed (not necessary)
- set z- and p-value of adjusted effect equal to NA for metaprop objects
-
Help pages updated
-
print.copas():
- other values than 0.1 considered for argument 'sign.rsb'
-
print.summary.limitmeta():
- no error for metaprop objects
- copas() and print.copas():
- use internal function chklevel() from R package meta to check significance level
- Argument 'backtransf' added to R package meta, version 3.8-0, considered in R package metasens.
-
copas(), limitmeta(), and funnel.limitmeta():
- new argument 'backtransf'
-
orbbound():
- new argument 'backtransf'
- new argument 'left' to chose whether selection bias is expected on the left or right side of the funnel plot
-
forest.orbbound(), print.copas(), print.limitmeta(), print.orbbound(), print.summary.copas(), print.summary.limitmeta():
- new argument 'backtransf' which replaces argument 'logscale'
-
Several help pages updated
- Limit meta-analysis implemented (Rücker et al., 2011)
-
New functions:
- limitmeta(), print.limitmeta()
- summary.limitmeta(), print.summary.limitmeta()
- funnel.limitmeta()
-
print.copas() and print.summary.copas():
- new argument 'logscale' to print results for relative effect measures on log scale
-
New dataset 'nsaids'
-
New help pages added and update of existing help pages
- New internal function radialregression()