• # rms

• Referenced in 100 articles [sw04532]
• streamline modeling. It also contains functions for binary and ordinal logistic regression models ... James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation ... especially written to work with binary or ordinal logistic regression, Cox regression, accelerated failure time...
• # PROC LOGISTIC

• Referenced in 10 articles [sw12078]
• fits linear logistic regression models for discrete response data by the method of maximum likelihood ... also perform conditional logistic regression for binary response data and exact logistic regression for binary...
• # HIBITS

• Referenced in 4 articles [sw30626]
• effects of covariates on the binary-valued response. The Gaussian process ... captures the residual variations in the binary response that are not explained by covariates...
• # IRTuno

• Referenced in 3 articles [sw25349]
• items at the item level for binary response data, item response theory (IRT) models have ... user the choice to simulate binary response data, set the number of total or burn...
• # IRTmu2no

• Referenced in 4 articles [sw25350]
• Multi-Unidimensional IRT Model. Unidimensional item response theory (IRT) models are useful when each item ... user the choice to simulate binary response data with multiple dimensions, set the number...
• # PROC GENMOD

• Referenced in 34 articles [sw11741]
• nonlinear link function and allows the response probability distribution to be any member ... normal errors, logistic and probit models for binary data, and log-linear models for multinomial ... selection of an appropriate link function and response probability distribution...
• # designv2

• Referenced in 3 articles [sw27807]
• potency) of comparative binary dose-response models with no control mortality and alternative link functions ... comparative binary bioassays. Optimal designs are investigated for bioassays involving two parallel dose-response relationships ... range of link functions relating expected responses to $log$(dose) are considered. The range ... extends work pertaining to a single binary dose-response...
• # GMDH2

• Referenced in 1 article [sw42433]
• classification via GMDH algorithm for a binary response and returns important variables. dceGMDH() performs classification ... formatted table of descriptives for a binary response. Moreover, it produces confusion matrix, its related ... with classification labels of binary classes to assess the prediction performance ... GMDH2’ functions are designed for a binary response (Dag et al., 2019, )....