Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
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Results 1 - 10 of 34 found.
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det_alpha (Package: highriskzone) : calculation of alpha (failure probability), when having the threshold c

This function is used for the intensity-based method. It determines the probability to have at least one unobserved event outside the high-risk zone. A Poisson distribution is used for the number of unobserved events in a certain area or field. Used in functions det_threshold, det_thresholdfromarea.
● Data Source: CranContrib
● Keywords:
● Alias: det_alpha
● 0 images

summary.hrzeval (Package: highriskzone) : Summary of a the evaluation of a high-risk zone

Prints a useful summary of the evaluation of a high-risk zone.
● Data Source: CranContrib
● Keywords:
● Alias: summary.hrzeval
● 0 images

sim_nsprocess (Package: highriskzone) : Simulation of the Neyman-Scott process.

Simulation of the Neyman-Scott process. Only applicable if the intensity was estimated for an appropriately enlarged window. More details in sim_nsppp.
● Data Source: CranContrib
● Keywords:
● Alias: sim_nsprocess
● 0 images

print.highriskzone (Package: highriskzone) : Print Brief Details of a high-risk zone

Prints a very brief description of a high-risk zone.
● Data Source: CranContrib
● Keywords:
● Alias: print.highriskzone
● 0 images

bootcor_restr (Package: highriskzone) : Bootstrap correction to obtain desired failure probability

Simulation-based iterative procedure to correct for possible bias with respect to the failure probability alpha
● Data Source: CranContrib
● Keywords:
● Alias: bootcor_restr
● 0 images

sim_intens (Package: highriskzone) : Simulation on given intensity

Generation of a random point pattern using the inhomogeneous Poisson process (if lambda is not constant) and thinning of this data, to obtain "observed" and "unobserved" events.
● Data Source: CranContrib
● Keywords:
● Alias: sim_intens
● 0 images

est_intens_weight (Package: highriskzone) : Estimates the intensity of the point pattern.

Estimates the intensity of the point pattern by a kernel method (See density.ppp).
● Data Source: CranContrib
● Keywords:
● Alias: est_intens_weight
● 0 images

check_det_hrz_input (Package: highriskzone) : Checks the arguments of det_hrz

For each argument it is checked if it is of a correct value or class.
● Data Source: CranContrib
● Keywords:
● Alias: check_det_hrz_input
● 0 images

bootcorr (Package: highriskzone) : Bootstrap correction to obtain desired failure probability

Simulation-based iterative procedure to correct for possible bias with respect to the failure probability alpha
● Data Source: CranContrib
● Keywords:
● Alias: bootcorr
● 0 images

bootcor (Package: highriskzone) : Bootstrap correction to obtain desired failure probability

Simulation-based iterative procedure to correct for possible bias with respect to the failure probability alpha
● Data Source: CranContrib
● Keywords:
● Alias: bootcor
● 0 images