predictSimario: Predict. Looks in envir for variables specified by model,...

In kcha193/simarioV2: Discrete-time Dynamic Micro-simulation Framework for R

Predict. Looks in envir for variables specified by model, then multiples the coefficients by each variable and summs the results.

Description

NB: In order to know how many values to predict, there needs to be at least one variable in the model. If you wish to create a intercept only model, then create a model with a single variable and a zero coefficient.

Usage

predictSimario(model, envir = parent.frame(), set = NULL)

Arguments

model	model with terms and coefficiens
envir	an environment in which model variables are evaluated. May also be NULL, a list, a data frame, a pairlist or an integer as specified to sys.call. If the specified envir is a list or data.frame, then the parent frame is used as the enclosing environment in which variables that don't exist in envir will be evaluated. If not specified then the parent frame is used, ie: the environment of the function calling this (i.e: the dynamic parent rather than the lexical parent in which this function is defined). The usual order of evaluation is used, i.e: in envir, then its parents and along the search path. For example, if a model variable is reassigned in the function calling this, then that reassigned value will be used before a global or attached value.
set	logical vector indicating elements or rows to keep, or NULL to use all elements returned by evaluated model variables

Value

a vector of predicted values

kcha193/simarioV2 documentation built on April 8, 2024, 4:51 p.m.