Changes in version 1.5-3 (2025-05-02) Major changes - R functions lfkindex() and doiplot() can be used in meta-analysis with missing treatment effect or standard error User-visible changes - print.copas(): - new arguments 'text.adj' and 'text.unadj' to label results for the adjusted and unadjusted treatment estimate - limitmeta(): - print informative error message if input is a generalised linear mixed model - metamiss(): - replace infinite values in argument 'IMOR.e' and 'IMOR.c' with value 1e8 - Do not print the start-up message concerning older version of R package metasens for readers of 'Meta-Analysis with R (Use R!)' Internal changes - copas(), lfkindex(), limitmeta(), orbbound: - check for three-level meta-analysis Changes in version 1.5-2 (2023-02-28) Major changes - For Copas selection model, show value of between-study variance and standard deviation in printouts Bug fixes - Arguments 'lfkindex' and 'xlim' were ignored in doiplot() User-visible changes - doiplot(): - print more informative label on horizontal axis for meta-analysis objects Internal changes - lfkindex(): - new list element 'x' with meta-analysis object used as input - New branch 'release' on GitHub starting with metasens, version 1.5-2 Changes in version 1.5-1 (2022-12-21) User-visible changes - Change maintainer's email address Internal changes - Remove 'meta:::' call Changes in version 1.5-0 (2022-07-11) Major changes - 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 Changes in version 1.0-1 (2022-01-28) Bug fixes - 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 User-visible changes - plot.copas(): - new argument 'main' replacing deprecated argument 'caption' Changes in version 1.0-0 (2021-10-22) Major changes - 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 User-visible changes - metamiss(): - arguments 'IMOR.e' and 'IMOR.c' can be specified for each individual study Changes in version 0.6-0 (2021-01-15) Major changes - 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 User-visible changes - funnel.limitmeta(): - new argument 'show.ci.adjust' to show confidence interval of adjusted estimate as a diamond Changes in version 0.5-0 (2020-09-29) Major changes - Calculation of adjusted treatment estimate for Copas model in R function copas() instead of summary.copas() User-visible changes - 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' Internal changes - copas(): - new list elements (with information for adjusted overall effect): 'TE.adjust', 'seTE.adjust', 'lower.adjust', 'upper.adjust', 'statistic.adjust' and 'pval.adjust' Changes in version 0.4-1 (2020-07-02) User-visible changes - Use Markdown for NEWS Internal changes - Call funnel.meta() instead of funnel.default() which will be removed from R package meta, version 4.13-0 Changes in version 0.4-0 (2019-08-06) Major changes - New function metamiss() implementing imputation methods for missing binary data (Gamble & Hollis, 2005; Higgins et al., 2008) - Use roxygen2 for development of R package metasens - Dataset 'nsaids' renamed to 'Moore1998' Changes in version 0.3-2 (2017-12-05) Major changes - 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 User-visible changes - print.summary.limitmeta(): - new argument print.Rb to specify if heterogeneity measure should be shown in output Internal changes - Code customisations due to changes in R package meta, version 4.9-0 Changes in version 0.3-1 (2016-10-15) User-visible changes - plot.copas(): - default label on x-axis in two bottom plots should read '... largest se' instead of '... largest sd' Changes in version 0.3-0 (2016-02-17) Major changes - Version of R package meta must be larger or equal 4.0-0 - Checks implemented which are available in R package meta User-visible changes - 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 Bug fixes - print.copas(): - other values than 0.1 considered for argument 'sign.rsb' - print.summary.limitmeta(): - no error for metaprop objects Internal changes - copas() and print.copas(): - use internal function chklevel() from R package meta to check significance level Changes in version 0.2-0 (2014-12-07) Major changes - Argument 'backtransf' added to R package meta, version 3.8-0, considered in R package metasens. User-visible changes - 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 Changes in version 0.1-0 (2014-06-24) First version released on CRAN - replacement of R package copas Major changes - Limit meta-analysis implemented (Rücker et al., 2011) User-visible changes - 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 Internal changes - New internal function radialregression()