theta)#Use the golden ratio search algorithm to determine the value of theta 1 d) install.packages(VGAM ) library(VGAM) #f.r f = function(x,theta1,theta2){ 1/2*drayleigh(x[1],theta1)*drayleigh(x[2],
"rtracklayer" [15] "Rfast2" "monocle" "Biobase" "VGAM
clusterProfiler','TVTB','DECIPHER','kinship2','circlize','copynumber','BSgenome.Dmelanogaster.UCSC.dm6','VGAM
作者也在给出了这样的说明: # expressionFamily = gaussianff()) not supported from VGAM 1.0.6 onwards # original code
.@ expressionFamily :Formal class 'vglmff' [package "VGAM"] with 22 slots .. .. ..@ blurb : " "loglink(mu)" "\n" ... .. .. ..@ constraints : expression({ constraints <- cm.zero.VGAM
row.names(new_data) expression_curve }, required_packages = c("BiocGenerics", "Biobase", "VGAM
0.000 0.143 > object.size(fit) 9663.856 kbytes 如果我们换用另一个函数,更确切地说是用多项式回归,它的耗时会是之前的两倍 > library(VGAM
VGAM包里有:广义线形和可加模型(Vector Generalised Linear and Additive Models),减秩回归(Reduced Rank regression)。
对于 GP 分布的随机数生成器和似然函数,我们改编了 VGAM 包 (Yee 2015) 中开发的代码。 4.2 近似效率与设定错误偏差 我们通过蒙特卡洛模拟评估了所提出的估计过程的性能。
VGAM包里有:广义线形和可加模型(Vector Generalised Linear and Additive Models),减秩回归(Reduced Rank regression)。
Biotechnology 杂志发表,是一个略微复杂的R包,并给出了一个测试数据 ,下载地址是: Source code HSMM expression data 安装方法是: install.packages(c("VGAM
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