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[人工智能/神经网络/深度学习] semicontMANOVA

再现Sabbioni E.,Agostinelli C.,Farcomeni A.的手稿“半连续高维数据的正则化MANOVA测试”中给出的结果的代码。该代码实现了半连续高维模拟数据的多元方差分析(MANOVA)参数推断和正则化测试。
Code to reproduce the results presented in the manuscript ”A regularized MANOVA test for semicontinuous high-dimensional data”, by Sabbioni E., Agostinelli C., Farcomeni A. The code implements a Multivariate ANalysis Of VAriance (MANOVA) parameters inference and test with regularization for semicontinuous high-dimensional simulated data. (2024-05-17, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1715876785928251.html

[人工智能/神经网络/深度学习] ru-bayesian-networks-and-causal-inference-23-24

ru贝叶斯网络与因果推理23 24
ru bayesian networks and causal inference 23 24 (2024-02-02, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1706874433950931.html

[人工智能/神经网络/深度学习] ering-A-Comparative-Study-of-PCA-and-K-Means-in-R

降维与聚类——R中PCA和K均值的比较研究
Dimensionality Reduction and Clustering A Comparative Study of PCA and K Means in R (2024-01-21, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1705919647618553.html

[人工智能/神经网络/深度学习] brms

R包使用{brms}运行贝叶斯MMRMs,
R package to run Bayesian MMRMs using {brms}, (2023-08-17, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1692314727366844.html

[人工智能/神经网络/深度学习] SimmonsLabResources

西蒙斯实验室中常见任务的脚本和文件的集合。,
A collection of scripts and files for common tasks in the Simmons Lab., (2023-08-15, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1692114020952664.html

[人工智能/神经网络/深度学习] dissertation

基于元模型驱动贝叶斯网络的过程临界事故风险分析,
Analysis of Process Criticality Accident Risk Using a Metamodel-Driven Bayesian Network, (2023-08-13, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1691903224481442.html

[人工智能/神经网络/深度学习] DRquality

这里提供了用于研究降维方法性能的几个质量度量。此外,还有一个新的问题...,
Several quality measurements for investigating the performance of dimensionality reduction methods are provided here. In addition a new quality measurement called Gabriel classification error is made accessible. (2023-08-11, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1691824372479553.html

[人工智能/神经网络/深度学习] brms

R包使用{brms}运行贝叶斯MMRMs,
R package to run Bayesian MMRMs using {brms}, (2023-07-28, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1690761120999730.html

[人工智能/神经网络/深度学习] projpred-arma

用于贝叶斯ARMA模型自动阶次识别的Kullback-Leibler投影,
Kullback-Leibler Projections for Automatic Order Identification of Bayesian ARMA Models, (2022-10-25, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1689717597874668.html

[人工智能/神经网络/深度学习] CPBayes

CPBayes(用于研究跨表型遗传关联的贝叶斯元分析)包,
CPBayes (Bayesian meta analysis for studying cross-phenotype genetic associations) package, (2020-12-01, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1689717592867406.html

[人工智能/神经网络/深度学习] UniversitySurvival

作为“大学成果贝叶斯生存模型”的补充材料提供的代码,
Code provided as supplementary material of "Bayesian survival modelling of university outcomes", (2016-05-12, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1689717587131389.html

[人工智能/神经网络/深度学习] PrevalenceMapping

使用贝叶斯地质统计学空间模型进行流行率映射的R包,
R package for prevalence mapping using Bayesian geostatistical spatial models, (2018-08-17, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1689717565830127.html

[人工智能/神经网络/深度学习] metabf

R包对GWAS汇总统计数据执行贝叶斯元分析,
R package to perform Bayesian meta analysis on GWAS summary statistics, (2021-11-05, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1689717515578939.html

[人工智能/神经网络/深度学习] bdfm

贝叶斯动态因子模型估计和预测统计,包括预测和预报,
Bayesian dynamic factor model estimation and predictive statistics including nowcasting and forecasting, (2020-09-19, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1689717361628417.html

[人工智能/神经网络/深度学习] RoBMA

用于估计稳健贝叶斯元分析的RoBMA R包,
RoBMA R package for estimating robust Bayesian meta-analyses, (2023-07-17, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1689717296494020.html

[人工智能/神经网络/深度学习] CumulativeProspectTheory

使用贝叶斯统计来估计累积前景理论参数的代码,
Code that uses Bayesian Statistics to estimate the parameters for Cumulative Prospect Theory, (2016-11-02, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1689717286208198.html

[人工智能/神经网络/深度学习] math315-fall2019

卡尔顿学院2019年秋季贝叶斯统计化身知识库。,
Repository for Fall 2019 incarnation of Bayesian Statistics at Carleton College., (2021-03-16, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1689717250621530.html

[人工智能/神经网络/深度学习] democracy-measurement-model

二分民主测度的贝叶斯测量误差模型的复制材料。,
Replication materials for Bayesian measurement error model of dichotomous measures of democracy., (2015-05-12, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1689717207559391.html

[人工智能/神经网络/深度学习] sparsebn

用于学习稀疏贝叶斯网络的软件,
Software for learning sparse Bayesian networks, (2020-09-05, R, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1689716327252538.html

[人工智能/神经网络/深度学习] CITE-Seq2_all_cells

来自第二个CITE Seq实验的所有细胞(已清理)的维数减少(UMAP)和聚类。
Dimensionality reduction (UMAP) and clustering for all cells (cleaned-up) from the second CITE-Seq experiment. (2022-07-12, R, 23KB, 下载0次)

http://www.pudn.com/Download/item/id/1686804408692979.html