• using R Under development (unstable) (2026-06-06 r90114)
• using platform: x86_64-pc-linux-gnu
• R was compiled by     gcc-16 (Debian 16.1.0-1) 16.1.0     GNU Fortran (Debian 16.1.0-1) 16.1.0
• running under: Debian GNU/Linux forky/sid
• using session charset: UTF-8 * current time: 2026-06-07 11:11:59 UTC
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• this is package ‘MRCV’ version ‘0.4-0’
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[1s/1s] ERROR Running examples in ‘MRCV-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: MI.test > ### Title: Test for Marginal Independence > ### Aliases: MI.test MI.stat > > ### ** Examples > > # Test for MMI using the second-order Rao-Scott adjustment > test.mmi.rs2 <- MI.test(data = farmer1, I = 1, J = 5, type = "rs2") > test.mmi.rs2 Test for Multiple Marginal Independence (MMI)   Unadjusted Pearson Chi-Square Tests for Independence: X^2_S = 30.84 X^2_S.ij =    Y1 Y2 Y3 Y4 Y5  5.96 7.89 4.62 1.42 10.95 Second-Order Rao-Scott Adjusted Results: X^2_S.adj = 28.68 df.adj = 18.6 p.adj = 0.0632   > > # Test for MMI using all three approaches > # A small B is used for demonstration purposes; normally, a larger B should be used > test.mmi.all <- MI.test(data = farmer1, I = 1, J = 5, type = "all", B = 99, + plot.hist = TRUE) Bootstrap Progress:   |   | | 0%   |   |= | 1%   |   |= | 2%   |   |== | 3%   |   |=== | 4%   | 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  |   |=============================================================== | 90%   |   |================================================================ | 91%   |   |================================================================ | 92%   |   |================================================================= | 93%   |   |================================================================== | 94%   |   |================================================================== | 95%   |   |=================================================================== | 96%   |   |==================================================================== | 97%   |   |===================================================================== | 98%   |   |===================================================================== | 99%   |   |======================================================================| 100% > test.mmi.all Test for Multiple Marginal Independence (MMI)   Unadjusted Pearson Chi-Square Tests for Independence: X^2_S = 30.84 X^2_S.ij =    Y1 Y2 Y3 Y4 Y5  5.96 7.89 4.62 1.42 10.95 Bootstrap Results: Final results based on 99 resamples p.boot = 0.0606 p.combo.prod = 0.0606 p.combo.min = 0.1717   Second-Order Rao-Scott Adjusted Results: X^2_S.adj = 28.68 df.adj = 18.6 p.adj = 0.0632   Bonferroni Adjusted Results: p.adj = 0.1357 p.ij.adj =  Y1 Y2 Y3 Y4 Y5  1.0000 0.4778 1.0000 1.0000 0.1357 > > # Use MI.test() with summary data > # Convert raw data file to summary file for this example > farmer1.irdframe <- item.response.table(data = farmer1, I = 1, J = 5, create.dataframe = + TRUE) > # Test for MMI using the Bonferroni adjustment > test.mmi.bon <- MI.test(data = farmer1.irdframe, I = 1, J = 5, type = "bon", + summary.data = TRUE) > test.mmi.bon Test for Multiple Marginal Independence (MMI)   Unadjusted Pearson Chi-Square Tests for Independence: X^2_S = 30.84 X^2_S.ij =    Y1 Y2 Y3 Y4 Y5  5.96 7.89 4.62 1.42 10.95 Bonferroni Adjusted Results: p.adj = 0.1357 p.ij.adj =  Y1 Y2 Y3 Y4 Y5  1.0000 0.4778 1.0000 1.0000 0.1357 > > # Test for SPMI using the second-order Rao-Scott adjustment > test.spmi.rs2 <- MI.test(data = farmer2, I = 3, J = 4, type = "rs2") > test.spmi.rs2 Test for Simultaneous Pairwise Marginal Independence (SPMI)   Unadjusted Pearson Chi-Square Tests for Independence: X^2_S = 64.03 X^2_S.ij =       y1 y2 y3 y4 w1 4.93 2.93 14.29 0.01 w2 6.56 2.11 11.68 0.13 w3 13.98 0.00 7.08 0.32 Second-Order Rao-Scott Adjusted Results: X^2_S.adj = 36.17 df.adj = 6.78 p.adj < 0.0001   > > # Test for MMI using the marginal logit model approach > library(geepack) Error in library(geepack) : there is no package called ‘geepack’ Execution halted
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• DONE

Status: 1 ERROR