Summarize a cosinor model Given a time variable and optional covariates, generate inference a cosinor fit. Gives estimates, confidence intervals, and tests for the raw parameters, and for the mean, amplitude, and acrophase parameters. If the model includes covariates, the function returns the estimates of the mean, amplitude, and acrophase for the group with covariates equal to 1 and equal to 0. This may not be the desired result for continuous covariates.

Summarize a cosinor model Given a time variable and optional covariates, generate inference a cosinor fit. Gives estimates, confidence intervals, and tests for the raw parameters, and for the mean, amplitude, and acrophase parameters. If the model includes covariates, the function returns the estimates of the mean, amplitude, and acrophase for the group with covariates equal to 1 and equal to 0. This may not be the desired result for continuous covariates.

Usage

# S3 method for cglmm
summary(object, ci_level = 0.95, ...)

Arguments

object

An object of class cglmm

ci_level

The level for calculated confidence intervals. Defaults to 0.95.

...

Currently unused

Value

Returns a summary of the cglmm model as a cglmmSummary object.

Examples

fit <- cglmm(vit_d ~ X + amp_acro(time,
  group = "X",
  n_components = 1,
  period = 12
), data = vitamind)
summary(fit)
#> 
#>  Conditional Model 
#> Raw model coefficients:
#>                estimate standard.error   lower.CI upper.CI    p.value    
#> (Intercept)  29.6897959      0.4583696 28.7914079 30.58818 < 2.22e-16 ***
#> X1            1.9018623      0.7919688  0.3496320  3.45409   0.016331 *  
#> X0:main_rrr1  0.9307876      0.6260656 -0.2962784  2.15785   0.137087    
#> X1:main_rrr1  6.5102900      0.9303406  4.6868560  8.33372 2.6011e-12 ***
#> X0:main_sss1  6.2009896      0.6701952  4.8874311  7.51455 < 2.22e-16 ***
#> X1:main_sss1  4.8184618      0.8963299  3.0616875  6.57524 7.6257e-08 ***
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#> 
#> Transformed coefficients:
#>               estimate standard.error   lower.CI upper.CI    p.value    
#> (Intercept) 29.6897959      0.4583696 28.7914079 30.58818 < 2.22e-16 ***
#> [X=1]        1.9018623      0.7919688  0.3496320  3.45409   0.016331 *  
#> [X=0]:amp1   6.2704576      0.6696564  4.9579551  7.58296 < 2.22e-16 ***
#> [X=1]:amp1   8.0994722      1.1028357  5.9379540 10.26099 2.0696e-13 ***
#> [X=0]:acr1   1.4218056      0.1000725  1.2256670  1.61794 < 2.22e-16 ***
#> [X=1]:acr1   0.6371544      0.1360809  0.3704408  0.90387 2.8385e-06 ***
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1