Summary method for tsme objects. Calls print.tsme
then appends the upward mobility table and ME-corrected transition matrix.
Usage
# S3 method for class 'tsme'
summary(object, ...)Arguments
- object
a tsme object returned by
tsme- ...
unused
Examples
summary(nlsy97_tsme_fit)
#> Two-Sided Measurement Error Model (tsme)
#> ------------------------------------------
#> Outcome: lci ~ ageC_97 + ageF
#> Treatment: lpi ~ ageC_97 + ageF
#>
#> Copula: frank theta(ME) = 2.1152 (SE 0.6443) | theta(No-ME) = 1.3026 (SE 0.2153)
#>
#> ME parameters:
#> Y (laplace): sigma = 0.4980 (SE 0.0057)
#> T (laplace): sigma = 0.4837 (SE 0.0075)
#>
#> Spearman's rho: ME = 0.3664 (SE 0.0798) | No-ME = 0.2295 (SE 0.0330) | Obs = 0.2085 (SE 0.0289)
#>
#> Upward Mobility:
#> ME ME_se NoME NoME_se Observed Obs_se
#> Q1 (bottom) 0.7836 0.0211 0.8264 0.0084 0.8303 0.0181
#> Q2 0.5756 0.0112 0.5897 0.0058 0.5725 0.0253
#> Q3 0.4218 0.0119 0.4054 0.0060 0.3868 0.0288
#> Q4 (top) 0.2071 0.0207 0.1771 0.0081 0.1667 0.0248
#>
#> Transition Matrix (ME-corrected, rows=father, cols=son):
#> Q1 Q2 Q3 Q4
#> Q1 (bottom) 0.4231 0.2809 0.1848 0.1113
#> Q2 0.2802 0.2889 0.2479 0.1830
#> Q3 0.1836 0.2476 0.2865 0.2823
#> Q4 (top) 0.1131 0.1826 0.2808 0.4235