bootsum: Summarise bootstrap results.

In DistanceDevelopment/hsltm: Line transect estimation with hidden state availability models

Description

Produces summarry of bootstrap results

Usage

bootsum(bests, ests = NULL, cilevel = 0.95, write.csvs = FALSE,
  dir = getwd())

Arguments

bests	output from bs.hmltm.
ests	hmltm object with points estimates.
cilevel	confidence level for confidence intervals by percentile method.
write.csvs	if TRUE, writes each output (see Value below) to separate .csv file.
dir	directory to which to write outputs if write.csvs is TRUE.

Value

If ests is NULL:
Returns a list with elements as follows for each statistic in bests:

• nbad number of bad estimates of the statistic in question that were excluded from the summary. (Bad estimates occur, for example, when a bootstrap sample involves no detections and the estimation function tries to calculate mean group size.)

• means Bootstrap means of the statistic in question.

• cv Percentage CVs of the statistic in question.

• se SEs of the statistic in question.

• lower Lower cilevel percentiles of the statistic in question.

• upper Upper cilevel percentiles of the statistic in question.

If ests is an object of class 'hmltm':
Returns a data frame with rows only for every stratum with detections (and the total) and columns as follows:

• Stratum stratum number
  

• n original number of detections
  

• n.L original encounter rate
  

• CV.n.L percentage coefficient of variation of encounter rate
  

• N.grp original estimate of group abundance
  

• CV.N.grp percentage coefficient of variation of group abundance
  

• N.grp.lo lower bound of group abundance confidence interval
  

• N.grp.hi upper bound of group abundance confidence interval
  

• Es original mean group size estimate
  

• CV.Es percentage coefficient of variation of mean group size
  

• Es.lo lower bound of mean group size confidence interval
  

• Es.hi upper bound of mean group size confidence interval
  

• N original individual abundance estimate
  

• CV.N percentage coefficient of individual abundance
  

• N.lo lower bound of individual abundance confidence interval
  

• N.hi upper bound of individual abundance confidence interval
  

DistanceDevelopment/hsltm documentation built on June 21, 2019, 2:22 p.m.