* using log directory 'd:/RCompile/CRANincoming/R-devel/rtpcr.Rcheck' * using R Under development (unstable) (2026-02-10 r89394 ucrt) * using platform: x86_64-w64-mingw32 * R was compiled by gcc.exe (GCC) 14.3.0 GNU Fortran (GCC) 14.3.0 * running under: Windows Server 2022 x64 (build 20348) * using session charset: UTF-8 * current time: 2026-02-11 13:55:28 UTC * checking for file 'rtpcr/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'rtpcr' version '2.1.4' * package encoding: UTF-8 * checking CRAN incoming feasibility ... NOTE Maintainer: 'Ghader Mirzaghaderi ' Number of updates in past 6 months: 7 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking whether package 'rtpcr' can be installed ... OK * checking installed package size ... 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ERROR Running examples in 'rtpcr-Ex.R' failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: ANOVA_DCt > ### Title: Delta Ct ANOVA analysis with optional model specification > ### Aliases: ANOVA_DCt > > ### ** Examples > > # Default usage with fixed effects > result <- ANOVA_DCt(data_2factorBlock3ref, numOfFactors = 2, numberOfrefGenes = 3, + block = "block") Relative Expression gene Type Concentration dCt RE log2FC LCL UCL se 1 PO R L1 2.62828 0.16174 -2.62828 0.11704 0.22351 0.03803 2 PO S L1 3.12306 0.11478 -3.12306 0.08306 0.15862 0.19479 3 PO R L2 1.63552 0.32185 -1.63552 0.22089 0.46897 0.29573 4 PO S L2 2.22361 0.21410 -2.22361 0.14694 0.31197 0.05659 5 PO R L3 0.08550 0.94246 -0.08550 0.68199 1.30241 0.27565 6 PO S L3 1.28189 0.41126 -1.28189 0.29760 0.56833 0.28106 7 NLM R L1 -1.32600 2.50707 1.32600 1.92666 3.26233 0.15235 8 NLM S L1 3.50923 0.08782 -3.50923 0.06749 0.11428 0.12116 9 NLM R L2 1.00339 0.49883 -1.00339 0.38334 0.64910 0.09175 10 NLM S L2 2.91119 0.13294 -2.91119 0.10216 0.17298 0.09931 11 NLM R L3 -0.40996 1.32865 0.40996 0.97812 1.80481 0.40782 12 NLM S L3 -0.29364 1.22573 0.29364 0.94196 1.59498 0.17875 Lower.se.RE Upper.se.RE Lower.se.log2FC Upper.se.log2FC sig 1 0.15753 0.16606 -2.55991 -2.69848 de 2 0.10028 0.13137 -2.72861 -3.57453 e 3 0.26220 0.39508 -1.33239 -2.00761 bc 4 0.20587 0.22267 -2.13808 -2.31256 cd 5 0.77854 1.14089 -0.07063 -0.10350 a 6 0.33846 0.49971 -1.05498 -1.55761 b 7 2.25583 2.78629 1.19312 1.47369 a 8 0.08075 0.09552 -3.22656 -3.81666 e 9 0.46809 0.53158 -0.94157 -1.06928 c 10 0.12409 0.14241 -2.71754 -3.11863 d 11 1.00149 1.76270 0.30902 0.54389 b 12 1.08289 1.38741 0.25942 0.33237 b Note: Using default model for statistical analysis: wDCt ~ block + Type * Concentration > > # Mixed model with random block effect > result_mixed <- ANOVA_DCt(data_2factorBlock3ref, numOfFactors = 2, numberOfrefGenes = 3, + block = "block") Relative Expression gene Type Concentration dCt RE log2FC LCL UCL se 1 PO R L1 2.62828 0.16174 -2.62828 0.11704 0.22351 0.03803 2 PO S L1 3.12306 0.11478 -3.12306 0.08306 0.15862 0.19479 3 PO R L2 1.63552 0.32185 -1.63552 0.22089 0.46897 0.29573 4 PO S L2 2.22361 0.21410 -2.22361 0.14694 0.31197 0.05659 5 PO R L3 0.08550 0.94246 -0.08550 0.68199 1.30241 0.27565 6 PO S L3 1.28189 0.41126 -1.28189 0.29760 0.56833 0.28106 7 NLM R L1 -1.32600 2.50707 1.32600 1.92666 3.26233 0.15235 8 NLM S L1 3.50923 0.08782 -3.50923 0.06749 0.11428 0.12116 9 NLM R L2 1.00339 0.49883 -1.00339 0.38334 0.64910 0.09175 10 NLM S L2 2.91119 0.13294 -2.91119 0.10216 0.17298 0.09931 11 NLM R L3 -0.40996 1.32865 0.40996 0.97812 1.80481 0.40782 12 NLM S L3 -0.29364 1.22573 0.29364 0.94196 1.59498 0.17875 Lower.se.RE Upper.se.RE Lower.se.log2FC Upper.se.log2FC sig 1 0.15753 0.16606 -2.55991 -2.69848 de 2 0.10028 0.13137 -2.72861 -3.57453 e 3 0.26220 0.39508 -1.33239 -2.00761 bc 4 0.20587 0.22267 -2.13808 -2.31256 cd 5 0.77854 1.14089 -0.07063 -0.10350 a 6 0.33846 0.49971 -1.05498 -1.55761 b 7 2.25583 2.78629 1.19312 1.47369 a 8 0.08075 0.09552 -3.22656 -3.81666 e 9 0.46809 0.53158 -0.94157 -1.06928 c 10 0.12409 0.14241 -2.71754 -3.11863 d 11 1.00149 1.76270 0.30902 0.54389 b 12 1.08289 1.38741 0.25942 0.33237 b Note: Using default model for statistical analysis: wDCt ~ block + Type * Concentration > > # Custom mixed model formula with nested random effects > result_custom <- ANOVA_DCt(data_repeated_measure_2, numOfFactors = 2, numberOfrefGenes = 1, + block = NULL, + model = wDCt ~ treatment * time + (1 | id)) Using user defined formula. Ignoring block and numOfFactors for model specification. Error in forceNewMerMod(res, reference = model) : could not find function "forceNewMerMod" Calls: ANOVA_DCt ... suppressMessages -> withCallingHandlers -> -> as_lmerModLT Execution halted * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... OK * checking PDF version of manual ... [12s] OK * checking HTML version of manual ... OK * DONE Status: 1 ERROR, 1 NOTE