Summarize the inference result for spikes estimated via an L0 inference problem

Summarize the inference result for spikes estimated via an L0 inference problem

# S3 method for spike_inference
summary(object, ...)

Arguments

object	output from running spike_estimates
...	to be passed to methods

Value

A data frame with a column of estimated spikes with associated p-values and confidence intervals.

Examples

gam <- 0.98
LAMBDA <- 0.7
sigma <- 0.3
n_length <- 1000
curr_sim <- simulate_ar1(n = n_length, gam = gam, poisMean = 0.01, sd = sigma, seed = 2)
curr_fit_spike <- spike_estimates(dat = curr_sim$fl, decay_rate = gam, tuning_parameter = LAMBDA)
curr_inference_spike <- spike_inference(dat = curr_sim$fl, decay_rate = gam,
tuning_parameter = LAMBDA, window_size = 2, sig2 = sigma*sigma, return_ci = TRUE)
summary(curr_inference_spike)
#>    estimated_spikes        pvals        LCB       UCB
#> 1                95 0.0026865876  0.3313205 1.5624120
#> 2               237 0.3080037641 -0.9602564 0.9293162
#> 3               369 0.0003211625  0.5423357 1.7345743
#> 4               463 0.0489093674 -0.1322414 1.1940410
#> 5               503 0.0086375856  0.1706250 1.4210234
#> 6               515 0.0007364613  0.4639493 1.6659810
#> 7               538 0.7342421299 -8.5600416 1.0333508
#> 8               561 0.1274106669 -0.5842248 1.2708549
#> 9               571 0.0011170360  0.4546186 1.6866898
#> 10              610 0.0370503683 -0.1092493 1.4964073
#> 11              627 0.0020417663  0.3977844 1.6573791
#> 12              662 0.0046657711  0.2894321 1.5793793
#> 13              781 0.0059471283  0.2203090 1.4564512
#> 14              914 0.0142668035  0.1420499 1.6782515
#> 15              924 0.6120957544 -4.3107861 1.0106799
#> 16              946 0.0011172539  0.4747208 1.7228907