cohortdeviation function

Calculate cohort deviation

cohortdeviation(
  A,
  P,
  C,
  model = temp6,
  weight = "wt",
  covariate,
  gee = FALSE,
  unequal_interval = FALSE,
  age_range = NULL,
  period_range = NULL,
  age_interval = NULL,
  period_interval = NULL,
  age_group = NULL,
  period_group = NULL,
  ...
)

Arguments

• A, P, C: The numbers of age groups, period groups, and cohort groups separately.

• model: A generalized linear regression model generated from the internal function temp_model

• weight: An optional vector of sample weights to be used in the model fitting process. If non-NULL, the weights will be used in the first step to estimate the model. Observations with negative weights will be automatically dropped in modeling.

• covariate: An optional vector of characters, representing the name(s) of the user-specified covariate(s) to be used in the model. If the variable(s) are not found in data, there will be an error message reminding the users to check the data again.

• gee: Logical, indicating if the data is cross-sectional data or longitudinal/panel data. If TRUE, the generalized estimating equation will be used to correct the standard error estimates. The default is FALSE, indicating that the data are cross-sectional.

• unequal_interval: Logical, indicating if age and period groups are of the same interval width. The default is set as TRUE.

• age_range, period_range: Numeric vector indicating the actual age and period range (e.g., 10 to 59 years old from 2000 to 2019).

• age_interval, period_interval, age_group, period_group: Numeric values or character vectors indicating how age and period are grouped. age_interval and period_interval are numbers indicating the width of age and period groups respectively. age_group and period_group are character vectors explicitly listing all potential age and period groups. Either age_interval(period_interval) or age_group

  (period_group) have to be defined when unequal_interval

  is TRUE.

• ...: Additional arguments to be passed to the function.

Returns

A list containing: - cohort_average: The estimated inter-cohort average deviations from age and period main effects.

• cohort_slope: The estimated intra-cohort life-course linear slopes.

• int_matrix: A matrix containing the estimated coefficients for age-by-period interactions.

• cohort_index: Indices indicating different cohorts.