Polytomous variable latent class analysis. R package version 1.4.1.Linzer DA, Lewis J. poLCA: polytomous variable latent class analysis: R package version 1.4. https:// github.com/dlinzer/poLCA (accessed em 10/ Dec/2014).Linzer DA, Lewis J. poLCA: polytomous variable latent class analysis:...
Polytomous Variable Latent Class Analysis poLCA is a software package for the estimation of latent class models and latent class regression models for polytomous outcome variables, implemented in the R statistical computing environment.Latent class analysis (also known as latent structure analysis) can ...
poLCA 包针对多分类变量(polytomous variable)做潜类别分析(Latent Class Analysis)。13)非高斯数据建模(Modelling non-Gaus… www.docin.com|基于 1 个网页 3. 多分变量 ...高,中,低三个层次,将距离分为城市,郊区与偏远;「多分变量」(polytomous variable),例如,色彩的种类,品牌,球衣号 … ...
In the current literature on latent variable models, much effort has been put on the development of dichotomous and polytomous cognitive diagnostic models ... ESBD Oliveira,X Wang,JL Bazán - 《Biometrical Journal》 被引量: 0发表: 2023年 ...
J Hepatol. 2024;80(1):155-68.2. 2.Lewis J, Linzer D. poLCA: An R Package for Polytomous Variable Latent Class Analysis. Journal of Statistical Software. 2011;42Sneek Dvan der Meer AMol BPonsioen CInderson AWeersma RHansen Bde Vries AEpiPSCJournal of Crohn's and Colitis...
网络多分变项;多分类变量;多分变量 网络释义
The sensitivity of the multiple imputation methods is assessed with respect to the following factors: the number of latent classes set up in the Latent Class Model and the rate of missing observations in each variable. The relative accuracy in estimation is assessed with respect to the Multiple ...