<p>This data set gives the graduate school admission status and university academic information of 400 students.
  &#8220;major&#8221;
  UCLA Institute for Digital Research and Education example data.</p>

datasets

Computes predicted probabilities and marginal effects for
binary & ordinal logit and probit, (partial) generalized ordinal &
multinomial logit models estimated with the glm(), clm() (in the
'ordinal' package), and vglm() (in the 'VGAM' package) functions.

Tim Liao

ProbMarg

Computing Logit & Probit Predicted Probabilities & Marginal
Effects

adm function

<p>A dataframe containing 400 observations.</p>

adm: Graduate School Admissions Data of University Students

Description

Usage

Arguments

Format