R语言 negative.binomial 位于MASS 包(package)。 说明 使用glm() 指定使用已知 theta 参数拟合负二项式广义线性模型所需的信息。 用法 negative.binomial(theta = stop("'theta' must be specified"), link = "log") 参数 theta 附加参数 theta 的已知值。 link 链接函数,作为指定 log、 sqrt 或identity ...
Empirical Bayes Tagwise Dispersions for Negative Binomial GLMsGordon SmythDavis McCarthy
7.5 Negative binomial overdispersion 8 Negative binomial regression 8.1 Varieties of negative binomial 8.2 Derivation of the negative binomial 8.2.1 Poisson—gamma mixture model 8.2.2 Derivation of the GLM negative binomial 8.3 Negative binomial distributions ...
For any fixed shape parameter θ, the negative binomial density is of the exponential no form, NBðyijμi; θÞ ¼ exp ¼Γyið−Γϑyiðiθ−þθϕbÞθlyðoÞiϑ!θgiÞθþ1. −cTðeyhloie;grμϕieμþiÞfθor,e¼,wt−hhθeelroe...
zhangyuqing / ComBat-seq Star 160 Code Issues Pull requests Batch effect adjustment based on negative binomial regression for RNA sequencing count data rna-seq negative-binomial-regression batch-effects Updated Sep 24, 2020 R const-ae / glmGamPoi Star 105 Code Issues Pull requests Fit ...
在这种情况下,较为合适的做法是采用负二项回归模型 (negative binomial regression model,NBR regression) 。 负二项 回归模型的密度函数为 ㈧ = ( )～( ), - o. ,⋯, ㈠ 张萃:制造业 区域 集聚与技术创新 :基 于负二项模型的实证分析 109 其中,E(v IX ) = ,Var(yi xi) = (1...
Differential expression quantifiers including log2 fold change and false discovery rate (FDR) were computed using the R 3.6.0 Bioconductor package edgeR 3.26.0 [30] that implements scRNA-seq differential expression analysis methodology based on the Negative Binomial distribution. First, we applied scran...
which can be used to derive a correspondingp-value. Note that if any of the cell counts are zero, the standard Wald test statisticTWis intractable (including 1/0 in the denominator). Similar results occur when fitting a logistic regression viaglm() in R where the variance is highly inflate...
Similar results occur when fitting a logistic regression via glm() in R where the variance is highly inflated resulting in a Wald test statistic near 0. Corresponding to the standard Wald test, the Fleiss sample size method [33] is widely used in practice for the design of case–control ...
Using the binomial test, we found six fate combinations that deviated significantly (p < 0.05), with 3 of 6 that were most deviated resulting in a gain in pDC potential after Bcor deletion (Figure S4A). However, relying solely on a binomial test to identify clones demonstrating fate skewing...