* 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 17:27:55 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 0.06143 2 PO S L1 3.12306 0.11478 -3.12306 0.08306 0.15862 0.21472 3 PO R L2 1.65834 0.31680 -1.65834 0.22089 0.46897 0.25149 4 PO S L2 2.20079 0.21752 -2.20079 0.14694 0.31197 0.05775 5 PO R L3 0.08550 0.94246 -0.08550 0.68199 1.30241 0.26799 6 PO S L3 1.28189 0.41126 -1.28189 0.29760 0.56833 0.30503 7 NLM R L1 -1.32600 2.50707 1.32600 1.92666 3.26233 0.15025 8 NLM S L1 3.50923 0.08782 -3.50923 0.06749 0.11428 0.11980 9 NLM R L2 1.00339 0.49883 -1.00339 0.38334 0.64910 0.09128 10 NLM S L2 2.91119 0.13294 -2.91119 0.10216 0.17298 0.10361 11 NLM R L3 -0.41248 1.33097 0.41248 0.97812 1.80481 0.40799 12 NLM S L3 -0.29364 1.22573 0.29364 0.94196 1.59498 0.17934 Lower.se.RE Upper.se.RE Upper.se.log2FC Lower.se.log2FC sig 1 0.15499 0.16877 -2.51872 -2.74261 de 2 0.09891 0.13320 -2.69118 -3.62425 e 3 0.26612 0.37713 -1.39305 -1.97415 bc 4 0.20898 0.22640 -2.11443 -2.29068 cd 5 0.78269 1.13484 -0.07100 -0.10295 a 6 0.33288 0.50808 -1.03760 -1.58370 b 7 2.25910 2.78226 1.47155 1.19485 a 8 0.08083 0.09543 -3.22959 -3.81308 e 9 0.46824 0.53141 -0.94187 -1.06893 c 10 0.12372 0.14284 -2.70945 -3.12794 d 11 1.00312 1.76598 0.54729 0.31087 b 12 1.08244 1.38797 0.33250 0.25931 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 0.06143 2 PO S L1 3.12306 0.11478 -3.12306 0.08306 0.15862 0.21472 3 PO R L2 1.65834 0.31680 -1.65834 0.22089 0.46897 0.25149 4 PO S L2 2.20079 0.21752 -2.20079 0.14694 0.31197 0.05775 5 PO R L3 0.08550 0.94246 -0.08550 0.68199 1.30241 0.26799 6 PO S L3 1.28189 0.41126 -1.28189 0.29760 0.56833 0.30503 7 NLM R L1 -1.32600 2.50707 1.32600 1.92666 3.26233 0.15025 8 NLM S L1 3.50923 0.08782 -3.50923 0.06749 0.11428 0.11980 9 NLM R L2 1.00339 0.49883 -1.00339 0.38334 0.64910 0.09128 10 NLM S L2 2.91119 0.13294 -2.91119 0.10216 0.17298 0.10361 11 NLM R L3 -0.41248 1.33097 0.41248 0.97812 1.80481 0.40799 12 NLM S L3 -0.29364 1.22573 0.29364 0.94196 1.59498 0.17934 Lower.se.RE Upper.se.RE Upper.se.log2FC Lower.se.log2FC sig 1 0.15499 0.16877 -2.51872 -2.74261 de 2 0.09891 0.13320 -2.69118 -3.62425 e 3 0.26612 0.37713 -1.39305 -1.97415 bc 4 0.20898 0.22640 -2.11443 -2.29068 cd 5 0.78269 1.13484 -0.07100 -0.10295 a 6 0.33288 0.50808 -1.03760 -1.58370 b 7 2.25910 2.78226 1.47155 1.19485 a 8 0.08083 0.09543 -3.22959 -3.81308 e 9 0.46824 0.53141 -0.94187 -1.06893 c 10 0.12372 0.14284 -2.70945 -3.12794 d 11 1.00312 1.76598 0.54729 0.31087 b 12 1.08244 1.38797 0.33250 0.25931 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