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pitting    音标拼音: [p'ɪtɪŋ]
ing. 造成坑洞

造成坑洞

pitting
n 1: the formation of small pits in a surface as a consequence
of corrosion [synonym: {pitting}, {roughness}, {indentation}]


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  • CRAN: Package lme4
    Fit linear and generalized linear mixed-effects models The models and their components are represented using S4 classes and methods The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue"
  • The Comprehensive R Archive Network
    The Comprehensive R Archive Network (CRAN) provides access to resources, packages, and documentation for the R programming language
  • R for Windows
    Please do not submit binaries to CRAN Package developers might want to contact Uwe Ligges directly in case of questions suggestions related to Windows binaries You may also want to read the R FAQ and R for Windows FAQ Note: CRAN does some checks on these binaries for viruses, but cannot give guarantees
  • CRAN: Package lme4breeding
    Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the 'lme4' machinery The core computational algorithms are implemented using the 'Eigen' 'C++' library for numerical linear algebra and 'RcppEigen' 'glue'
  • CRAN: lme4 citation info
    @Article{, title = {Fitting Linear Mixed-Effects Models Using {lme4}}, author = {Douglas Bates and Martin M{\"a}chler and Ben Bolker and Steve Walker}, journal = {Journal of Statistical Software}, year = {2015}, volume = {67}, number = {1}, pages = {1--48}, doi = {10 18637 jss v067 i01}, }
  • R: lme4 News
    If you notice significant or disturbing changes when fitting a model with the new version of lme4, please notify the maintainers VarCorr returns its results in the same format as before (as a list of variance-covariance matrices with correlation and stddev attributes, plus a sc attribute giving the residual standard deviation scale parameter
  • lmerTest: Tests in Linear Mixed Effects Models
    May 8, 2026 Package Tests in Linear Mixed Effects Models 3 2-1 R (>= 3 2 5), lme4 (>= 1 1-10), stats, methods numDeriv, MASS, ggplot2, reformulas pbkrtest (>= 0 4-3), tools Provides p-values in type I, II or III anova and summary tables for lmer model fits (cf lme4) via Satterthwaite's degrees of freedom method A Kenward-Roger method is also available via the pbkrtest package Model





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