.- help for ^_pepred^ .- _pepred [, level(integer) maxcnt(integer)] ^_pepred^ is a utility program designed to generate predicted values from a series of specified values of the independent variables. _pepred takes as input the matrix PE_in; each row is an observation and the columns are values for the independent variables in the regression model. ^_pepred^ temporarily adds these observations to the dataset and generates predicted values. _pepred puts the predicted values in return matrices that can then be used by the calling program. Options ------- ^level()^ sets the level of the confidence interval for predicted values or probabilities for the estimation commands for which these are provided. ^maxcnt()^ is the maximum count value for which the probability is computed in count models. Default is 9. Return Values ------------- Scalars r(always0) : pr(Always0) for zip and zinb r(xb): value of xb r(xb_lo): lower bound of confidence interval for xb r(xb_hi): upper bound of confidence interval for xb r(p0): predicted prob of 0 for binary model r(p0_lo): lower bound of confidence interval for predicted probability of 0 r(p0_hi): upper bound of confidence interval for predicted probability of 0 r(p1): predicted prob of 1 for binary model r(p1_lo): lower bound of confidence interval for predicted probability of 1 r(p1_hi): upper bound of confidence interval for predicted probability of 1 r(mu): predicted count or rate for count models Macros: r(level) : confidence level for commands that have this Matrices: r(probs): predicted probabilities for multiple categories or counts r(values): values of outcome categories for rows of r(probs) r(x): x values for independent variables r(x2): x values for independent variables in second equation (^zip^, ^zinb^) .- Authors: J. Scott Long and Jeremy Freese www.indiana.edu/~jslsoc/spost.htm spostsup@@indiana.edu