LP+OAGT+9gDsAEb/BwEbAMoABAHS//z/g/9i//T+qv0AAOv/b/+QAKj/2gDKAScAdQHl/0YAEQDn/+kAzf6xAEgANwAGAGYAOf+D/zUAdP6R/6r/W/8oALz/UQErAKEAGQHv/jQAQf/B/2X/CAA6ALcAjAGAAHD/NwGsAHQAAP++/r//Yv6J/+j+zv9T/0YARgFHARgA7wAdAIT/RwCe/yEAQgAuALT/FwCYARMAV/9pATf/XwD+//f/F//V/yb/...
EN最近在对Oracle 数据库使用冷备tar迁移时，遇到需要将当前数据库文件下下的datapump导出的文件过滤掉，...
I would get the value for linear prediction as below: head(predict(mod_sim,type='lp'))12340.0377246310.020958128-0.006986043-0.051696716560.066367406-0.031437192 In Stata, if I run the post-estimation command and specifylinear predictionI will get different values as shown below: -.0363274,-....
predictrms(fit, newdata=NULL, type=c("lp", "x", "data.frame", "terms", "cterms", "ccterms", "adjto", "adjto.data.frame", "model.frame"), se.fit=FALSE, conf.int=FALSE, conf.type=c('mean', 'individual', 'simultaneous'), kint=NULL, na.action=na.keep, expand.na=TRUE, ...
type=c("lp","risk","expected","terms","survival"), se.fit=FALSE, na.action=na.pass, terms=names(object$assign), collapse, reference=c("strata","sample","zero"),...) 参数 细节 Cox模型是相对风险模型; "linear predictor"、"risk" 和 "terms" 类型的预测均与它们所来自的样本相关。默认...
## S3 method for class 'survreg' predict(object, newdata, type=c("response", "link", "lp", "linear", "terms", "quantile", "uquantile"), se.fit=FALSE, terms=NULL, p=c(0.1, 0.9), na.action=na.pass, ...) 参数 object 使用survreg 函数进行模型拟合的结果。 newdata 用于预测的数...
Bug description summary TypeError Traceback (most recent call last) /var/folders/js/lpf4z00557sb1m38br8bzj_476fsrl/T/ipykernel_16178/3403943172.py in 8 random_state=0, 9 ) ---> 10 fda_clusters = fda_kmeans.fit_predict(X) ~/miniconda3/env...
每条记录由十个变量构成，其中有三个是名义变量，分别描述钻石的切工，颜色和净度； car ...
从R中的coxph对象进行预测时predict.coxph与predict.coxph的差异你可以知道这一点，因为它调用UseMethod...
Among these factors, the type and amount of loading required by a work task exhibit a direct relationship with the occurrence of LBP. Based on these findings, biomechanists have attempted to model the behavior of the lumbar region of the spine, with the objective of determining the ...